- Content-Based Recommendation System using Word Embeddings - Aug 14, 2020.
This article explores how average Word2Vec and TF-IDF Word2Vec can be used to build a recommendation engine.
Tags: NLP, Recommendation Engine, Recommender Systems, TF-IDF, Word Embeddings, word2vec
An Introductory Guide to NLP for Data Scientists with 7 Common Techniques - Jan 9, 2020.
Data Scientists work with tons of data, and many times that data includes natural language text. This guide reviews 7 common techniques with code examples to introduce you the essentials of NLP, so you can begin performing analysis and building models from textual data.
Tags: Data Preparation, NLP, Sentiment Analysis, TF-IDF, Tokenization, Topic Modeling, Word Embeddings
- WTF is TF-IDF? - Aug 2, 2018.
Relevant words are not necessarily the most frequent words since stopwords like “the”, “of” or “a” tend to occur very often in many documents.
Tags: Information Retrieval, Python, Text Analytics, Text Mining, TF-IDF
- Recommender Engine - Under The Hood - Feb 21, 2018.
We examine two main types of recommender systems: Content based and Collaborative filtering. Both have their pros and cons depending upon the context in which you want to use them.
Tags: Recommendation Engine, Recommender Systems, TF-IDF
- Top KDnuggets tweets, Jun 25-26: 12 JavaScript Libraries for Data Viz; TF-IDF – key measure for Text Analytics - Jun 27, 2014.
Very useful: 12 JavaScript Libraries for Data Visualization; Introduction to TF-IDF - key measure for Text Analytics; UC Berkeley new online MS in #DataScience, 18 months, $60K; XLMiner solves Big Data Problems in Excel.
Tags: Data Visualization, Javascript, Text Analytics, TF-IDF, UC Berkeley, XLMiner
