How to Perform Basic Text Analysis without Training Dataset

This article was published as a part of theĀ Data Science Blogathon

Overview

  • This article will give you a basic understanding of how text analysis works.
  • Learn the various steps of the NLP pipeline
  • Derivation of the overall sentiment of the text.
  • Dashboard depicting the general statistics and sentiment analysis of the text.

Abstract

In this modern digital era, a large amount of information is generated per second. Most of the data humans generate through WhatsApp messages, tweets, blogs, news articles, product recommendations, and reviews is unstructured. So to gain useful insights from this highly unstructured data we need to first convert it into structured and normalized form.

Natural language processing (NLP) is a class of Artificial Intelligence that performs series of processes on this unstructured data to get meaningful insight. Language processing is completely non-deterministic in nature because the same language can have different interpretations. It becomes tedious as something suitable to one person is not suitable for another. Moreover, the use of colloquial language,

 

 

 

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