Natural Language Processing

 Pooja.R.Shetty
1st Sem BCA, NCMS.

Natural language processing is a subfield of Linguistic, computer science and artificial intelligence concerned with the interactions between computers and human language. It refers to speech analysis in both audible speech as well as text of a language. NLP systems capture meaning from an input of words (sentences, paragraphs, pages etc.) It makes possible for computers to read text, hear speech, interpret it, measure sentiment and determine which parts are important.

Examples:-

* Speech recognition 

* Document summarization 

* Machine translation 

* Spam detection

* Autocomplete 

Main Components:- 

1. Syntactic Analysis 

2. Semantic Analysis 

3. Discourse Integration 

4. Programmatic Analysis

Advantages:-

* Allocates Human Resources effectively.

* Improve Customer Satisfaction. 

* Reduce costs and Inefficiencies 

Disadvantages:-

To have a separate version of the product for each language and where appropriate for each dialect of a language.