International Journal of Electrical, Electronics and Data Communication (IJEEDC)
eISSN:2320-2084 , pISSN:2321-2950
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Statistics report
Mar. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 85
Paper Published : 1402
No. of Authors : 3795
  Journal Paper

Paper Title
Sentiment Analysis of The Smartphone Product Reviews

Nowadays, social media has become a platform of online communication for people to convey their opinions to the public. Today users can not only obtain information but also actively generate content using web. Blogs, reports, forums, etc. are the main sources of public opinion information called reviews. Good responses from people can awake desire for a product, create brand awareness, encourage a positive attitude toward the product for buying the products. Using natural language processing the text that contains both cases and opinion could be extracted to get some opinionated views. To analysis such texts and reviews sentiment analysis is used. Sentiment analysis is a sub domain of Natural Language Processing and is used to automatically mine the opinions and emotions from text such as comments and posts. In this paper sentiment analysis is carried out by two approaches: machine learning approach and dictionary based approach. And then discuss accuracies for more accurate sentiment analysis and the issues in detecting correct polarity of the texts. Keywords - Natural Language Processing, Sentiment Analysis, Social media.

Author - May Thanda Theint Aung, Aye Aye Kyaw

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| Published on 2018-12-11
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