Introduction to Text Analytics

This Pathway is on Text Analytics, its basic steps and applications.

This is a Pathway on Introduction to Text Analytics. Text Mining (also referred to as Text Analytics) is an Artificial Intelligence (AI) Technology that uses Natural Language Processing (NLP) to transform the free (unstructured) text in documents and databases into normalized, structured data suitable for analysis or to drive Machine Learning (ML) algorithms.

[Ref : https://www.linguamatics.com/what-text-mining-text-analytics-and-natural-language-processing]

We use Text Analytics & Natural Language Processing interchangeably in this Pathway, on a high level, they mean the same.

By the end of this Pathway, you will:

1. Explain what is Text Analytics
2. Identify the applications of Text Analytics
3. Describe Tokenization
4. Convert text to numbers
5. Discover the concept of Vector Space Model
6. Discover how to measure similarity between words, sentences and documents in Vector Space
7. Summarize the concept of Sentiment Analysis