Sentiment Glossary Analysis on Twitter with Stratified Controlled Subject Miniature  
  Authors : D. Sharumathi; K. Vinothini; B. Sanofer; S. Nivetha; M . Agalya

 

Sadness is a worldwide wellbeing concern. Informal organizations enable the influenced populace to share their encounters. Web-based social networking furnishes boundless chances to impart encounters to their best recommendation. In current situations and with accessible new advances, twitter can be utilized adequately to gather data as opposed to social affair data in conventional technique. Twitter is a most prevalent online long range informal communication benefit.

 

Published In : IJCAT Journal Volume 7, Issue 4

Date of Publication : April 2020

Pages : 42-46

Figures :05

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D. Sharumathi : Department of Computer Science and Engineering Vivekanandha college of Technology for women, Namakkal, Tamil Nadu, India.

K. Vinothini : Department of Computer Science and Engineering Vivekanandha college of Technology for women, Namakkal, Tamil Nadu, India.

B. Sanofer : Department of Computer Science and Engineering Vivekanandha college of Technology for women, Namakkal, Tamil Nadu, India.

S. Nivetha : Department of Computer Science and Engineering Vivekanandha college of Technology for women, Namakkal, Tamil Nadu, India.

M . Agalya : Department of Computer Science and Engineering Vivekanandha college of Technology for women, Namakkal, Tamil Nadu, India.

 

 

 

 

 

 

 

Support vector machine

 

 

 

 

 

 

 

 

 

 

 

 

 

 

We have proposed a framework for ordering drugs in light of extremity investigation of twitter information. The twitter tweets are removed with twitter API utilizing twitter4j. From the twitter created application all the keys and token are produced, with these data we can associate the twitter with twitter API. At that point extricated tweets are preprocessed by evacuating stop words, short structures and emoji's.The preprocessed tweets are characterized utilizing Na´ve Bayes grouping and extremity of the tweets is anticipated for conclusive arrangement. This framework interpersonal organization based social investigation parameters can build the forecast more precision and speedy reaction analyze.

 

 

 

 

 

 

 

 

 

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