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IJSTR >> Volume 9 - Issue 8, August 2020 Edition



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

Website: http://www.ijstr.org

ISSN 2277-8616



Analysis Of Satisfaction Of Banque Populaire Customers Through Their Tweets

[Full Text]

 

AUTHOR(S)

Youssef CHOUNI, Mohammed ERRITALI, Youssef OUADID

 

KEYWORDS

Social networks, Twitter, Sentiment analysis(SA), WorldNet, language R, Machine learning, SVM, Naïve Bayes(NB).

 

ABSTRACT

The Social networks are an excellent source of information, and extraction of opinion. Nowadays, the most of internet users are using these platforms in order to share their sentiments and opinions about the products or services. The exploitation of these opinions is fruitfully. In this work, we expose the problem of sentiment analysis in social networks by showing the multiple experiments made in this context on Tweets using the two important approaches of this domain, namely, the Lexicon-Based Approach and the Machine Learning Approach. Also we introduce an original approach which incorporates the semantics in the second approach using the WorldNet lexical database.

 

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