INTRODUCTION

By Anonymous -

 Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural data. NLP is field of AI that gives the machines the ability to read, understand and derive meaning from human languages. Real world applications of NLP are name entity recognition, machine translation, machine question answering etc.

Before that we need to understand what is text classification.

Text classification is process of categorizing text into organized groups. Text classification is also called as text categorization and text tagging.

Different websites, emails, chat conversations, social median contain unstructured text so it is very difficult for computer to understand such text and it is hard to extract a value from it unless and until it is organized in certain way. It is not possible to sort data manually as it is difficult to maintain and time consuming. By using NLP text classifier can automatically analyze text and then assign tags based on its content. Text classifier with NLP is great way to sort, to structure textual data in fast, cost effective and scalable way.

Text classification can be used to classify short text such as tweets, headlines etc. as well as larger documents like news articles etc. The best example of text classification is sentiment analysis.

Examples of text classification are

  1. Sentiment analysis
  2. Language detection
  3.  Profanity and abuse detection.

Some text classification applications are email spam filtering, social  media monitoring. Sales people also uses text classifier to automate business processes to save hundreds of hours for manual data processing.


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