- Data Sources 101 - Oct 28, 2019.
Data collection is one of the first steps of the data lifecycle — you need to get all the data you require in the first place. To collect the right data, you need to know where to find it and determine the effort involved in collecting it. This article answers the most basic question: where does all the data you need (or might need) come from?
Big Data, Data Science, Datasets, Unstructured data
- Labeling Unstructured Text for Meaning to Achieve Predictive Lift - Oct 31, 2018.
In this post, we examine several advance NLP techniques, including: labeling nouns and noun phrases for meaning, labeling (most often) adverbs and adjectives for sentiment, and labeling verbs for intent.
NLP, Overfitting, Text Mining, Unstructured data
- Text Clustering : Quick insights from Unstructured Data, part 2 - Jul 4, 2017.
We will build this in a modular way and also focus on exposing the functionalities as an API so that it can serve as a plug and play model without any disruptions to the existing systems.
API, Clustering, Python, Text Analytics, Unstructured data
Text Clustering: Get quick insights from Unstructured Data - Jun 28, 2017.
Grouping and clustering free text is an important advance towards making good use of it. We present an algorithm for unsupervised text clustering approach that enables business to programmatically bin this data.
Clustering, Text Analytics, Unstructured data
- Quickly tackle unstructured text data - Feb 8, 2017.
Learn about the new advanced text exploration capabilities available that let you quickly extract insights from text-based data.
Clustering, JMP, Text Analysis, Unstructured data
