Search results for Natural Language Processing

    Found 89 documents, 10397 searched:

  • Top 10 Books on NLP and Text Analysis">Silver BlogTop 10 Books on NLP and Text Analysis

    ...tice-oriented: you won’t be introduced to complex theories behind, just plenty of code and concepts to start experimenting right away. Where to find: Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit (on Amazon) Natural Language Processing with Python (free...

    https://www.kdnuggets.com/2019/01/top-10-books-nlp-text-analysis.html

  • Introduction to Natural Language Processing, Part 1: Lexical Units

    ...ng. Part one below provides an introduction to the field and explains how to identify lexical units as a means of data preprocessing. Introduction to Natural Language Processing Natural language processing is a set of techniques that allows computers and people to interact. Consider the process of...

    https://www.kdnuggets.com/2017/02/datascience-introduction-natural-language-processing-part1.html

  • Free resources to learn Natural Language Processing

    ...angauge Processing is a subset of Artificial Intelligence (AI). There are multiple resources available online which can help you develop expertise in Natural Language Processing. In this blog post, we list resources for the beginners and intermediate level learners. Natural Language Resources for...

    https://www.kdnuggets.com/2018/09/free-resources-natural-language-processing.html

  • Natural Language Processing Nuggets: Getting Started with NLP

    ...inally intended to be in any particular order, if you are inclined to read them all, they are best approached in the order they are presented.   Natural Language Processing Key Terms, Explained At the intersection of computational linguistics and artificial intelligence is where we find...

    https://www.kdnuggets.com/2018/06/getting-started-natural-language-processing.html

  • 10 Free Top Notch Natural Language Processing Courses">Gold Blog10 Free Top Notch Natural Language Processing Courses

    ...or practical, or are a beginner or an advanced learner, the content included herein won't fail on living up to the promise of being 10 free top notch natural language processing courses. So dig in and learn NLP today. From CS224n: Natural Language Processing with Deep Learning (Stanford)   1....

    https://www.kdnuggets.com/2019/10/10-free-top-notch-courses-natural-language-processing.html

  • NLP Breakthrough Imagenet Moment has arrived

    ...rge enough, fulfilling desideratum #1. Given the current state of NLP, there are several contenders. Reading comprehension is the task of answering a natural language question about a paragraph. The most popular dataset for this task is the Stanford Question Answering Dataset (SQuAD), which...

    https://www.kdnuggets.com/2018/12/nlp-imagenet-moment.html

  • NLP vs. NLU: from Understanding a Language to Its Processing">Gold BlogNLP vs. NLU: from Understanding a Language to Its Processing

    ...re sophisticated, we expect existing concepts to embrace this change — or change themselves. Similarly, in the domain of computer-aided processing of natural languages, shall the concept of natural language processing give way to natural language understanding? Or is the relation between the two...

    https://www.kdnuggets.com/2019/07/nlp-vs-nlu-understanding-language-processing.html

  • 5 Free Resources for Getting Started with Deep Learning for Natural Language Processing">Silver Blog, July 20175 Free Resources for Getting Started with Deep Learning for Natural Language Processing

    ...jor breakthroughs in Image Classification and are the core of most Computer Vision systems today. More recently CNNs have been applied to problems in Natural Language Processing and gotten some interesting results. In this paper, we will try to explain the basics of CNNs, its different variations...

    https://www.kdnuggets.com/2017/07/5-free-resources-getting-started-deep-learning-nlp.html

  • Everything You Need to Know about Natural Language Processing

    language processing is to help computers understand human speech in order to do away with computer languages like Java, Ruby, or C all together. With natural language processing, computers would be able to directly understand human language and speech. Here, we’ll break down everything you need to…

    https://www.kdnuggets.com/2015/12/natural-language-processing-101.html

  • An Inside Update on Natural Language Processing

    ...nal linguistics, Java vs. Scala, and accuracy evaluation with a detour into Portuguese-English translation challenges, that is -- An Inside Update on Natural Language Processing Seth Grimes> Let's jump in the deep end. What's the state of NLP, of natural language processing? Jason Baldridge>...

    https://www.kdnuggets.com/2016/06/inside-update-natural-language-processing.html

  • Natural Language Processing Key Terms, Explained

    At the intersection of computational linguistics and artificial intelligence is where we find natural language processing. Very broadly, natural language processing (NLP) is a discipline which is interested in how human languages, and, to some extent, the humans who speak them, interact with...

    https://www.kdnuggets.com/2017/02/natural-language-processing-key-terms-explained.html

  • Comparison of the Most Useful Text Processing APIs">Silver BlogComparison of the Most Useful Text Processing APIs

    ...already accessible solutions developed by well-known companies. This option is usually faster and simpler. No specific knowledge or experience in the natural language processing is required. It would suffice to understand the fundamentals of the text processing. At the same time, if you need...

    https://www.kdnuggets.com/2018/08/comparison-most-useful-text-processing-apis.html

  • Natural Language in Python using spaCy: An Introduction

    ...tary Domino project is also available.   Introduction   This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries. Data science teams in industry must work with lots...

    https://www.kdnuggets.com/2019/09/natural-language-python-using-spacy-introduction.html

  • 50+ Useful Machine Learning & Prediction APIs, 2018 Edition">Silver Blog50+ Useful Machine Learning & Prediction APIs, 2018 Edition

    ...+ languages. Diffbot Analyze: Provides developers tools that can identify, analyze, and extract the main content and sections from any web page. Free Natural Language Processing Service: Is a free service including sentiment analysis, content extraction, and language detection. This is a popular...

    https://www.kdnuggets.com/2018/05/50-useful-machine-learning-prediction-apis-2018-edition.html

  • 5 Fantastic Practical Natural Language Processing Resources

    ...ere are some well-known, top notch mainstay resources of mainly theoretical depth, especially the Stanford and Oxford NLP with deep learning courses: Natural Language Processing with Deep Learning (Stanford) Deep Learning for Natural Language Processing (Oxford) But what if you've completed these,...

    https://www.kdnuggets.com/2018/02/5-fantastic-practical-natural-language-processing-resources.html

  • Domain-Specific Language Processing Mines Value From Unstructured Data

    ...an be put to use. That’s a huge challenge. For data-driven systems based on artificial intelligence, machine learning or other advanced applications, natural language processing and natural language understanding are supposed to be the solution, either by themselves or as hybrid models that plug in...

    https://www.kdnuggets.com/2019/08/domain-specific-language-processing.html

  • Text Analytics: A Primer

    ...alytics usually refer to the application of data mining and machine learning algorithms to text data. NLP covers that and also other more traditional natural language tasks such as machine translation, syntax, semantics, etc. But there is really no clear demarcation between the terms. Bing Liu...

    https://www.kdnuggets.com/2017/03/text-analytics-primer.html

  • 50+ Useful Machine Learning & Prediction APIs, updated

    ...8 languages. Diffbot Analyze: provides developers tools that can identify, analyse, and extract the main content and sections from any web page. Free Natural Language Processing Service: is a free service including sentiment analysis, content extraction, and language detection. This is a popular...

    https://www.kdnuggets.com/2017/02/machine-learning-data-science-apis-updated.html

  • How To Create Natural Language Semantic Search For Arbitrary Objects With Deep Learning

    ...oach of taking a pre-trained model that extracts features from code and fine-tuning this model to project latent code features into a vector space of natural language. One warning: We use the term vector and embeddinginterchangeably throughout this tutorial.   Prerequisites   We recommend...

    https://www.kdnuggets.com/2018/06/natural-language-semantic-search-arbitrary-objects-deep-learning.html

  • 12 NLP Researchers, Practitioners & Innovators You Should Be Following">Gold Blog12 NLP Researchers, Practitioners & Innovators You Should Be Following

    ...Previously, I received a B.Sc. summa cum laude from Tel Aviv University and a Ph.D. from the University of Washington. I work in the intersection of natural language processing, machine learning, vision, and robotics. My current main research focus is algorithms for natural language understanding...

    https://www.kdnuggets.com/2019/08/nlp-researchers-practitioners-innovators-should-follow.html

  • Apple: macOS Software Engineer, Natural Language Processing

    ...Company: Apple Location: Cupertino, CA Web: www.apple.com Position: macOS Software Engineer, Natural Language Processing This job is closed. Join the natural language processing team that drives on-device text intelligence at Apple. Work on NLP technologies that power autocorrection, predictive...

    https://www.kdnuggets.com/jobs/17/08-10-apple-macos-software-engineer-nlp.html

  • U. Chicago Center for Data Science and Public Policy: Postdoc in Natural Language Processing

    ...IL, USA Web: dsapp.uchicago.edu/ Position: Postdoc Position In Natural Language Processing _Contact_: Apply online. Are you interested in using your natural language processing skills to make a social impact? Want to work with the White House and a team from government, academia, and industry to...

    https://www.kdnuggets.com/jobs/16/06-29-dsapp-postdoc-natural-language-processing-b.html

  • Your Guide to Natural Language Processing (NLP)

    ...e goal should be to optimize their experience, and several organizations are already working on this. Number of publications containing the sentence “natural language processing” in PubMed in the period 1978–2018. As of 2018, PubMed comprised more than 29 million citations for biomedical literature...

    https://www.kdnuggets.com/2019/05/guide-natural-language-processing-nlp.html

  • Text Preprocessing in Python: Steps, Tools, and Examples

    ...ools for implementing tokenization are described. Table 1: Tokenization tools Name, Developer, Initial release Features Programming languages License Natural Language Toolkit (NLTK), The University of Pennsylvania, 2001 Mac/Unix/Windows support Python Apache License Version 2.0. Contains many...

    https://www.kdnuggets.com/2018/11/text-preprocessing-python.html

  • Deep Learning Research Review: Natural Language Processing">Silver Blog, 2017Deep Learning Research Review: Natural Language Processing

    Introduction to Natural Language Processing   Introduction Natural language processing (NLP) is all about creating systems that process or “understand” language in order to perform certain tasks. These tasks could include Question Answering (What Siri, Alexa, and Cortana do) Sentiment...

    https://www.kdnuggets.com/2017/01/deep-learning-review-natural-language-processing.html

  • Deep Learning for Natural Language Processing (NLP)  – using RNNs & CNNs

    ...ch on their platforms, Google Translate can translate between 100s of languages, and chatbots in live customer service chat software are on the rise. Natural Language Processing (NLP) All the above bullets fall under the Natural Language Processing (NLP) domain. The main driver behind this...

    https://www.kdnuggets.com/2019/02/deep-learning-nlp-rnn-cnn.html

  • 7 Types of Artificial Neural Networks for Natural Language Processing">Silver Blog7 Types of Artificial Neural Networks for Natural Language Processing

    ...separable. Every node in a layer connects to each node in the following layer making the network fully connected. For example, multilayer perceptron natural language processing (NLP) applications are speech recognition and machine translation.   2. Convolutional neural network (CNN)  ...

    https://www.kdnuggets.com/2017/10/7-types-artificial-neural-networks-natural-language-processing.html

  • NLP and Computer Vision Integrated">Silver BlogNLP and Computer Vision Integrated

    ...der purely visual signs, then this leads to the conclusion that semiotics can also be approached by computer vision, extracting interesting signs for natural language processing to realize the corresponding meanings. Computer Vision and its relation to NLP Malik summarizes Computer Vision tasks as...

    https://www.kdnuggets.com/2019/06/nlp-computer-vision-integrated.html

  • Introduction to Natural Language Processing (NLP)

    ...opinions, then use sentiment analysis models to predict whether users’ reviews are positive, negative, or neutral. Source: https://clevertap.com/blog/natural-language-processing   NLP is divided into two fields: Linguistics and Computer Science. The Linguistics side is concerned with language,...

    https://www.kdnuggets.com/2019/10/introduction-natural-language-processing.html

  • Building a Wikipedia Text Corpus for Natural Language Processing

    ...for more <<< And that's it. Some simple code to accomplish what gensim makes a simple task. Now that you are armed with an ample corpus, the natural language processing world is your oyster. Time for something fun.   Related: A Framework for Approaching Textual Data Science Tasks...

    https://www.kdnuggets.com/2017/11/building-wikipedia-text-corpus-nlp.html

  • Deep Learning for NLP: An Overview of Recent Trends">Silver BlogDeep Learning for NLP: An Overview of Recent Trends

    ...elopment in unsupervised sentence representation learning Combining deep learning models with memory-augmenting strategies   What is NLP?   Natural language processing (NLP) deals with building computational algorithms to automatically analyze and represent human language. NLP-based...

    https://www.kdnuggets.com/2018/09/deep-learning-nlp-overview-recent-trends.html

  • On the contribution of neural networks and word embeddings in Natural Language Processing

    ...s such as computer vision [1,2] and speech recognition [3]. Lately, they have also started to be integrated in other challenging domains like Natural Language Processing (NLP). But how do neural networks contribute to the advance of text-based applications? In this post I will try to explain, in a...

    https://www.kdnuggets.com/2018/05/contribution-neural-networks-word-embeddings-natural-language-processing.html

  • Text Analysis, Text Mining, and Information Retrieval Software

    ...based analytics with structured data to perform data mining and predictive analytics. Ascribe, offering a unique hybrid technology approach, blending natural language processing, machine learning and semi-automated coding tools, since 1999. Attensity, offers a complete suite of Text Analytic...

    https://www.kdnuggets.com/software/text.html

  • AIG: Senior Manager/Director, Scientist – Natural Language Processing Research

    ...ontact_: Email to Deirdre.Cavanagh@aig.com. To apply to this role go to www.aig.com/careers and search by Title: Senior Manager/Director, Scientist - Natural Language Processing Research or Job ID # 131796 AIG is seeking a dynamic individual to help develop and support new transformational projects...

    https://www.kdnuggets.com/jobs/16/06-03-aig-senior-manager-director-scientist-natural-language-processing-research.html

  • NLP in Online Courses: an Overview

    ...ess a girlfriend (or boyfriend, of course) with a couple of learned words. We have picked up a few of them to illustrate the range and possibilities: Natural Language Processing (NLP) with Python NLTK Platform : Udemy Instructor: Waqar Ahmed (GoTrained Academy) Go to the webpage The course is...

    https://www.kdnuggets.com/2018/05/nlp-online-courses-overview.html

  • Natural Language Processing for Social Media

    ...What is Natural Language Processing (NLP)? Can you give us a non-technical definition of NLP and short history of how it came about? Anna Farzindar: Natural Language Processing is a sub-field of Artificial Intelligence, perhaps the most famous one. It is the art of human communication with...

    https://www.kdnuggets.com/2019/02/natural-language-processing-social-media.html

  • Natural Language Interface to DataTable

    ...ford NLP Group Research Blog) The example given above is surely a very simplistic version of the enormous possibilities one can imagine for providing natural language interface to the datasets or databases. Natural Language Understanding (NLU) is the key technology here, which would parse the query...

    https://www.kdnuggets.com/2019/06/natural-language-interface-datatable.html

  • Data Representation for Natural Language Processing Tasks

    ...g some different types of NLP tasks, but had it pointed out to me that I had neglected to touch on a hugely important aspect: data representation for natural language processing. Just as in other types of machine learning tasks, in NLP we must find a way to represent our data (a series of texts) to...

    https://www.kdnuggets.com/2018/11/data-representation-natural-language-processing.html

  • Exploring Social Media Diversity with Natural Language Processing

    ...he first wheel I experimented with was Profession, since this was the most likely to be shared in a profile. I’m using the Python library NLTK (Natural Language Toolkit) for this analysis the code is open https://github.com/tonybaloney/wntf I thought I would try and characterize the...

    https://www.kdnuggets.com/2016/08/exploring-social-media-diversity-natural-language-processing.html

  • Neural Code Search: How Facebook Uses Neural Networks to Help Developers Search for Code Snippets

    ...tion directly from the source code text. The first materialization of the FAIR team efforts is a tool called Neural Code Search (NCS) which accepts a natural language query and returns results inferred directly from the code corpus. The techniques behind NCS were summarized in two research papers...

    https://www.kdnuggets.com/2019/07/neural-code-facebook-uses-neural-networks.html

  • AIA Group: Natural Language Processing (NLP) Engineer

    ...tasked to shape AIA’s Machine Learning (ML) and Artificial Intelligence (AI) agenda. In this key role, s/he will be responsible for leveraging ML and Natural Language Processing (NLP) techniques to build solutions to better insurance processes and business model benefitting both internal and...

    https://www.kdnuggets.com/jobs/17/05-22-aia-group-natural-language-processing-engineer.html

  • Civis Analytics: Data Scientist, Natural Language Processing

    ...s that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas. With a specialization in natural language processing, this data scientist role will apply expertise in machine learning to the analysis of text datasets being collected at...

    https://www.kdnuggets.com/jobs/16/04-01-civisanalytics-data-scientist-natural-language-processing.html

  • A Survey of Available Corpora for Building Data-driven Dialogue Systems

    ...to be effective in natural language processing, including tasks relevant for dialogue such as dialogue policy learning, dialogue state tracking, and natural language generation. This particular paper is focused on corpus-based learning where you have been able to build up, or have access to, a...

    https://www.kdnuggets.com/2016/07/survey-available-corpora-building-data-driven-dialog-systems.html

  • Getting Started with spaCy for Natural Language Processing

    ...did not go any further than data preprocessing with NLTK, the toolkit could, theoretically, be used for further analysis tasks. While NLTK is a great natural language... well, toolkit (hence the name), it is not optimized for building production systems. This may or may not be of consequence if...

    https://www.kdnuggets.com/2018/05/getting-started-spacy-natural-language-processing.html

  • How Machines Understand Our Language: An Introduction to Natural Language Processing">Silver BlogHow Machines Understand Our Language: An Introduction to Natural Language Processing

    ...the content of your query to customize the response accordingly. But how does that work in practice? This post introduces the concepts at the base of Natural Language Processing, and focuses on the nltk package to use in Python. Note: to run the examples below, you will need to have nltk library...

    https://www.kdnuggets.com/2018/10/machines-understand-language-introduction-natural-language-processing.html

  • Natural Language Processing Library for Apache Spark – free to use

    ...ing framework, with native support for distributed SQL, streaming, graph processing, and machine learning. Now, the Spark ecosystem also has an Spark Natural Language Processing library. Get it on GitHub or begin with the quickstart tutorial. The John Snow Labs NLP Library is under the Apache 2.0...

    https://www.kdnuggets.com/2017/11/natural-language-processing-library-apache-spark.html

  • A Framework for Approaching Textual Data Science Tasks">Silver BlogA Framework for Approaching Textual Data Science Tasks

    ...of tasks which can be exploited in order to leverage the availability of all of this data.   Text Mining or Natural Language Processing?   Natural language processing (NLP) concerns itself with the interaction between natural human languages and computing devices. NLP is a major aspect...

    https://www.kdnuggets.com/2017/11/framework-approaching-textual-data-tasks.html

  • KU Leuven: Postdoc positions in Natural Language Processing

    ...um Web: www.cs.kuleuven.be/groups/liir/jobs.php Postdoctoral fellowship: Knowledge Acquisition for Automated Natural Language Understanding Automated natural language understanding relies on common and world knowledge for a correct interpretation by the machine. The machine should be able to read...

    https://www.kdnuggets.com/academic/13/12-28-kuleuven-postdoc-positions-natural-language-processing.html

  • Natural Language Processing Q&A

    Sponsored Post.   The Changing Nature of Natural Language Processing: How Will It Be Applied in the Future? Natural language processing (NLP) software has been used for years to enable speech recognition in everything from cars to smartphones, and more recently, smart home devices. New...

    https://www.kdnuggets.com/2019/06/mathworks-natural-language-processing-qa.html

  • Artificial Intelligence and Data Science Advances in 2018 and Trends for 2019

    ...ell as connectivity patterns in neural networks architectures, in particular, attention-based Transformers that overtook recurrent neural networks in natural language processing. Although these developments have been going on over the last four years, the expert notes that significant advances were...

    https://www.kdnuggets.com/2019/02/ai-data-science-advances-trends.html

  • Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI">Gold BlogComparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI

    ...integration to work. Amazon Lex . The Lex API is created to embed chatbots in your applications as it contains automatic speech recognition (ASR) and natural language processing (NLP) capacities. These are based on deep learning models. The API can recognize written and spoken text and the Lex...

    https://www.kdnuggets.com/2018/01/mlaas-amazon-microsoft-azure-google-cloud-ai.html

  • Top Stories, Jan 30-Feb 5: Deep Learning Research Review: Natural Language Processing; Data Scientist – best job in America, again

    ...6 areas of AI and Machine Learning to watch closely Data Scientist - best job in America, again Most Shared Last Week Deep Learning Research Review: Natural Language Processing, by Adit Deshpande - Jan 31, 2017. Data Scientist – best job in America, again, by Gregory Piatetsky - Jan 30,...

    https://www.kdnuggets.com/2017/02/top-news-week-0130-0205.html

  • Machine Learning Translation and the Google Translate Algorithm

    ...candidates from machine translators: Candidate 1: Statsbot makes it easy for companies to closely monitor data from various analytical platforms via natural language. Candidate 2: Statsbot uses natural language to accurately analyze businesses’ metrics from different analytical platforms. Although...

    https://www.kdnuggets.com/2017/09/machine-learning-translation-google-translate-algorithm.html

  • Natural Language Generation overview – is NLG is worth a thousand pictures ?

    …isclosed amount.) Each offers an NLG tool that automatically creates reports and analysis from data sets and existing reports. They use inference and natural language generation engines to identify the most significant parts of the data, draw insights, and recommend actions that get embedded in…

    https://www.kdnuggets.com/2017/05/nlg-natural-language-generation-overview.html

  • Deep Learning Can be Applied to Natural Language Processing">Silver BlogDeep Learning Can be Applied to Natural Language Processing

    ...he use of Deep Learning in the domain of NLP. The article written by Riza Berkan “Is Google Hyping it? Why Deep Learning cannot be Applied to Natural Languages Easily” has several arguments about DL cannot possibly work and that Google is exaggerating its claims. The latter argument is of course...

    https://www.kdnuggets.com/2017/01/deep-learning-applied-natural-language-processing.html

  • NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing">Gold BlogNLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing

    ...That's where the today's spotlighted resource comes in.   Source: Vered Shwartz   NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing is a living resource maintained by Elvis Saravia and Soujanya Poria — with a major part of the project having been...

    https://www.kdnuggets.com/2019/01/nlp-overview-modern-deep-learning-techniques.html

  • The Main Approaches to Natural Language Processing Tasks">Gold BlogThe Main Approaches to Natural Language Processing Tasks

    ...which were likely needed prior to moving ahead. The first of those topics is will be covered here, more of a general discussion on the approaches to natural language processing tasks which are common today. This also brings up the question: specifically, what types of NLP tasks are there? The...

    https://www.kdnuggets.com/2018/10/main-approaches-natural-language-processing-tasks.html

  • Text Analytics 2015 – Technology and Market Overview

    ...nd on an already extensive array of applications. As in 2014, these applications will not always be recognized as “text analytics” (or as natural language processing, for that matter). My 2014 observation remains true, “text-analytics technology is increasingly delivered embedded...

    https://www.kdnuggets.com/2015/03/text-analytics-2015-technology-market-overview.html

  • BERT: State of the Art NLP Model, Explained

    ...r in the Machine Learning community by presenting state-of-the-art results in a wide variety of NLP tasks, including Question Answering (SQuAD v1.1), Natural Language Inference (MNLI), and others. BERT’s key technical innovation is applying the bidirectional training of Transformer, a popular...

    https://www.kdnuggets.com/2018/12/bert-sota-nlp-model-explained.html

  • An Inside View of Language Technologies at Google

    ...assistants, recommendations, and modern biomedical research, intelligence and investigations, and consumer insights. (See my 2013 article, All About Natural Language Processing.) No organization is more heavily invested in NLP -- or investing more heavily -- than Google. That's why a keynote on...

    https://www.kdnuggets.com/2015/10/seth-grimes-language-technologies-google.html

  • Get Started in Text Analytics

    ...ing (February 6, 2015) Learn to pilot, implement or analyze data mining methods aimed at data containing unstructured text (forms, surveys, etc.). 2: Natural Language Processing (March 6, 2015) Introduction to the algorithms, techniques and software used in natural language processing (NLP) 3:...

    https://www.kdnuggets.com/2014/09/get-started-text-analytics.html

  • Text Analytics, Text Mining Courses on Statistics.com

    ...Text Mining (June 12) Learn to pilot, implement or analyze data mining methods aimed at data containing unstructured text (forms, surveys, etc.). 2: Natural Language Processing (July 17) Introduction to the algorithms, techniques and software used in natural language processing (NLP) 3: Natural...

    https://www.kdnuggets.com/2015/04/statisticscom-text-analytics-text-mining-courses.html

  • 10 More Free Must-Read Books for Machine Learning and Data Science">Platinum Blog10 More Free Must-Read Books for Machine Learning and Data Science

    ...neural networks Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you many of the core concepts behind neural networks and deep learning.   3. Think Bayes By...

    https://www.kdnuggets.com/2018/05/10-more-free-must-read-books-for-machine-learning-and-data-science.html

  • Top Stories, Oct 7-13: 10 Free Top Notch Natural Language Processing Courses; The Last SQL Guide for Data Analysis You’ll Ever Need

    ...ere Shocked by What They Learned How to select rows and columns in Pandas using [ ], .loc, iloc, .at and .iat Most Shared Last Week 10 Free Top Notch Natural Language Processing Courses, by Matthew Mayo - Oct 07, 2019. Activation maps for deep learning models in a few lines of code, by Tirthajyoti...

    https://www.kdnuggets.com/2019/10/top-news-week-1007-1013.html

  • Top Stories, Jan 16-22: Time Series Analysis: A Primer; Deep Learning Can be Applied to Natural Language Processing

    ...d Data Science Is..., by Jean-Francois Puget. The 10 Algorithms Machine Learning Engineers Need to Know, by James Le. Deep Learning Can be Applied to Natural Language Processing The Current State of Automated Machine Learning Big Data and the Internet of Things don't make business smarter,...

    https://www.kdnuggets.com/2017/01/top-news-week-0116-0122.html

  • Approaches to Text Summarization: An Overview

    comments The bona fide semantic understanding of human language text, exhibited by its effective summarization, may well be the holy grail of natural language processing (NLP). That statement isn't as hyperbolic as it sounds: as true human language understanding definitely is the holy grail of...

    https://www.kdnuggets.com/2019/01/approaches-text-summarization-overview.html

  • Word Vectors in Natural Language Processing: Global Vectors (GloVe)

    ...sed IT company developing software solutions, with a wide-ranging expertise in key AI technologies, including Data Mining, Digital Signal Processing, Natural Language Processing, Machine Learning, Image Processing and Computer Vision. Related: Multi-Class Text Classification with Scikit-Learn...

    https://www.kdnuggets.com/2018/08/word-vectors-nlp-glove.html

  • Webinar: Natural Language Processing for Digital Transformation of Unstructured Text

    ...e cases from pharma, including effective text mining of scientific abstracts and full text papers for rare disease insights. What will you learn? How Natural Language Processing (NLP) text mining can extract relevant structured data from unstructured scientific literature using ontologies, flexible...

    https://www.kdnuggets.com/2019/12/copyright-webinar-natural-language-processing.html

  • Microsoft is Becoming M(ai)crosoft

    ...ice assistant, prototypes of Notification Platform[6] and adaptive interface of MS Office[7]. Microsoft improved its positions in speech recognition, natural language processing and knowledge graphs via acquisitions of Tellme Networks and Powerset for €591M and €63M respectively. Tellme’s products...

    https://www.kdnuggets.com/2016/04/microsoft-becoming-m-ai-crosoft.html

  • Top KDnuggets tweets, Jan 31 – Feb 6: #DeepLearning for Natural Language Processing: Tutorials with Jupyter Notebooks

    ...ents Give a False Sense of Security: Circumventing Defenses to Adversarial Examples https://t.co/1axIc3q0WK https://t.co/Joul5xEsCu #DeepLearning for Natural Language Processing: Tutorials with Jupyter Notebooks https://t.co/XiBf4XQm9Y #NLProc https://t.co/pe8oD4XMGf Why Generalists Dominate...

    https://www.kdnuggets.com/2018/02/top-tweets-jan31-feb06.html

  • 30 Free Resources for Machine Learning, Deep Learning, NLP & AI">SilverBlog30 Free Resources for Machine Learning, Deep Learning, NLP & AI

    ...mp in and tackle some more advanced concepts.   5 Fantastic Practical Natural Language Processing Resources Are you interested in some practical natural language processing resources? There are so many NLP resources available online, especially those relying on deep learning approaches, that...

    https://www.kdnuggets.com/2018/06/30-free-resources-machine-learning-deep-learning-nlp-ai.html

  • Top Stories, Oct 15-21: Graphs Are The Next Frontier In Data Science; The Main Approaches to Natural Language Processing Tasks

    ...roke The Main Approaches to Natural Language Processing Tasks Start your journey into data science today Most Shared Last Week The Main Approaches to Natural Language Processing Tasks, by Matthew Mayo - Oct 17, 2018. GitHub Python Data Science Spotlight: High Level Machine Learning & NLP,...

    https://www.kdnuggets.com/2018/10/top-news-week-1015-1021.html

  • Consulting Companies in Analytics, Data Mining, Data Science, and Machine Learning

    ...nrichment and data insights for all verticals. Schindellegi, Switzerland. Aiaioo Labs, a research lab and consultancy specializing in text analytics (natural language processing) and machine learning. Algolytics (former StatConsulting), software solutions and consulting in predictive analytics,...

    https://www.kdnuggets.com/companies/consulting.html

  • Content-based Recommender Using Natural Language Processing (NLP)

    .... Python codes with inline comments are available on my GitHub, do feel free to refer to them. JNYH/movie_recommender Content-based recommender using Natural Language Processing (NLP). A guide to build a content-based movie recommender...   Thank you for reading!   Bio: James Ng has a...

    https://www.kdnuggets.com/2019/11/content-based-recommender-using-natural-language-processing-nlp.html

  • TweetNLP: Twitter Natural Language Processing

    Twitter data has recently been one of the most favorite dataset for Natural Language Processing (NLP) researchers. Besides its magnanimous size, Twitter data has other unique qualities as well – it comprises of real-life conversations, uniform length (140 characters), rich variety, and real-time...

    https://www.kdnuggets.com/2014/10/tweetnlp-twitter-natural-language-processing.html

  • Machine Learning & AI Main Developments in 2018 and Key Trends for 2019">Gold BlogMachine Learning & AI Main Developments in 2018 and Key Trends for 2019

    ...me, 2018 in machine learning seemed like a year of refinement. For example, there was wider application and interest in transfer learning, notably in natural language processing thanks to techniques such as Universal Language Model Fine-tuning for Text Classification (ULMFiT) and Bidirectional...

    https://www.kdnuggets.com/2018/12/predictions-machine-learning-ai-2019.html

  • Getting started with NLP using the PyTorch framework

    ...l Understanding these classes, their parameters, their inputs and their outputs are key to getting started with building your own neural networks for Natural Language Processing (NLP) in Pytorch. If you have started your NLP journey, chances are that you have encountered a similar type of diagram...

    https://www.kdnuggets.com/2019/04/nlp-pytorch.html

  • Top KDnuggets tweets, Oct 09-15: #DeepLearning for Natural Language Processing (#NLP) using RNNs & CNNs #KDN Post

    Most popular @KDnuggets tweets for Oct 09-15 were: Most Retweeted & Viewed: #DeepLearning for Natural Language Processing (#NLP) using RNNs & CNNs #KDN https://t.co/M6kRdjgG6L   Most Favorited & Clicked: Math for Programmers.. - KDnuggets https://t.co/k0Ue6uYPpr https://t.co/VYcDHoUIS7...

    https://www.kdnuggets.com/2019/10/top-tweets-oct09-15.html

  • Top Stories, Jul 17-23: Machine Learning Applied to Big Data, Explained; 5 Free Resources for Getting Started with Deep Learning for Natural Language Processing

    ...Machine Learning Applied to Big Data, Explained, by Matthew Mayo - Jul 17, 2017. 5 Free Resources for Getting Started with Deep Learning for Natural Language Processing, by Matthew Mayo - Jul 19, 2017. How GDPR Affects Data Science - Jul 17, 2017. AI and Deep Learning, Explained Simply - Jul 21,...

    https://www.kdnuggets.com/2017/07/top-stories-week-0717-0723.html

  • Why Deep Learning is perfect for NLP (Natural Language Processing)">Silver BlogWhy Deep Learning is perfect for NLP (Natural Language Processing)

    ...which the learned information is constructed level-by-level through composition. The lower level of representation often can be shared across tasks. Naturally handles the recursivity of human language. Human sentences are composed of words and phrases with a certain structure. Deep learning,...

    https://www.kdnuggets.com/2018/04/why-deep-learning-perfect-nlp-natural-language-processing.html

  • What is emotion analytics and why is it important?

    …I’ve written-up a couple of other emotion analytics interviews — an IBM Watson blog contribution, Sentiment, Emotion, Attitude, and Personality, via Natural Language Processing, based on a conversation with IBMer Rama Akkiraju and On Facial Coding, Emotion Analytics, and Emotion Aware Applications…

    https://www.kdnuggets.com/2016/10/emotion-analytics-why-important.html

  • Top Stories, Feb 6-12: 5 Career Paths in Big Data and Data Science, Explained • So What is Big Data?

    ...Explained, by Matthew Mayo The Most Popular Language For Machine Learning and Data Science Is... So What is Big Data? Deep Learning Research Review: Natural Language Processing Making Python Speak SQL with pandasql 52 Useful Machine Learning & Prediction APIs, updated Most Shared Last Week 5...

    https://www.kdnuggets.com/2017/02/top-news-week-0206-0212.html

  • Understanding Convolutional Neural Networks for NLP

    …different languages, or phrased in different ways. Convoltuonal Neural Networks applied to NLP Let’s now look at some of the applications of CNNs to Natural Language Processing. I’ll try it summarize some of the research results. Invariably I’ll miss many interesting applications (do let me know…

    https://www.kdnuggets.com/2015/11/understanding-convolutional-neural-networks-nlp.html

  • Senior Software Engineer, Natural Language Processing

    Company: Knewton Location: New York, NY Web: www.knewton.com Knewton is an education startup funded by high-profile investors including Peter Thiel and Reid Hoffman. Located in the heart of Manhattan in the Union Square area, Knewton is building the world's most powerful adaptive learning engine,...

    https://www.kdnuggets.com/jobs/13/09-11-knewton-sr-sw-engineer-natural-language-processing.html

  • Top 20 Python Machine Learning Open Source Projects

    ...data sets for machine learning and statistics. This module provides standardized Python access to toy problems as well as popular computer vision and natural language processing data sets. MILK, 687 commits, 9 contributors, www.github.com/luispedro/milk Milk is a machine learning toolkit in Python....

    https://www.kdnuggets.com/2015/06/top-20-python-machine-learning-open-source-projects.html

  • Comparison of Top 6 Python NLP Libraries">Gold BlogComparison of Top 6 Python NLP Libraries

    ...ysis, sentiment analysis, machine translation, etc. In the past decades, only experts with appropriate philological education could be engaged in the natural language processing. Besides mathematics and machine learning, they should have been familiar with some key linguistic concepts. Now, we can...

    https://www.kdnuggets.com/2018/07/comparison-top-6-python-nlp-libraries.html

  • Introduction to Named Entity Recognition

    ...se this code to build sequence models for NER or any other task. Now NLTK (Natural Language Toolkit) is a great Python package that provides a set of natural languages corpora and APIs of wide varieties of NLP algorithms. NLTK comes along with the efficient Stanford NER implementation. Now with...

    https://www.kdnuggets.com/2018/12/introduction-named-entity-recognition.html

  • Deep Learning Research Review: Generative Adversarial Nets

    ...petals” and the output is a generated image that contains those characteristics. So this task involves two main components. One is utilizing forms of natural language processing to understand the input description and the other is a generative network that is able to output an accurate and natural...

    https://www.kdnuggets.com/2016/10/deep-learning-research-review-generative-adversarial-networks.html

  • Chatbots on Steroids: 10 Key Machine Learning Capabilities to Fuel Your Chatbot">Silver BlogChatbots on Steroids: 10 Key Machine Learning Capabilities to Fuel Your Chatbot

    ...pabilities you need to evaluate when creating your smart bots. Natural Language Processing As a smart bot, your bot will obviously need to understand natural language in order to be able to interact with humans in a natural way. Natural Language Understanding (NLU) is a subset of NLP which handles...

    https://www.kdnuggets.com/2017/01/chatbots-steroids-10-key-machine-learning-capabilities.html

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