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International Journal of Scientific & Technology Research

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IJSTR >> Volume 9 - Issue 4, April 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



A Rule And Statistical Based Model For Descriptive Text Analysis Using Natural Language Processing

[Full Text]

 

AUTHOR(S)

Indrashis Das, Bharat Sharma, Siddharth S. Rautaray, Manjusha Pandey

 

KEYWORDS

Text Analysis, Data Analysis, Natural Language Processing, Python, NLTK

 

ABSTRACT

Data can be called as the most important resource in the Automated world but the challenge we face is that before 80s most of the data was offline written in form of text, picture or paper records. The data present online also is haywire and needs analysis to be done in order to get the information we desired. The need for the text analysis model comes to the rescue where it can be used to analyze the descriptive text. NLP or Natural Language processing can be used for the purpose of analyzing the descriptive text with the help of NLTK. This paper proposes a descriptive text analysis model which can be used for gaining insight or analyzing for the purpose of text analysis.

 

REFERENCES