Predicting the Semantic Orientation of Communication Over Social Networking
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2018 by IJCTT Journal | ||
| Volume-57 Number-1 |
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| Year of Publication : 2018 | ||
| Authors : Harshal Mittal | ||
| DOI : 10.14445/22312803/IJCTT-V57P109 |
Harshal Mittal "Predicting the Semantic Orientation of Communication over Social Networking". International Journal of Computer Trends and Technology (IJCTT) V57(1):51-55, March 2018. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract
Social media has reformed into the digital revolution. Applications like Facebook, Instagram, Twitter, LinkedIn, WhatsApp and lot more, are highly enjoyed by social media users. But where some people are enjoying social media to their full, others are the victims of its negative aspect which includes sending obscene messages to someone. Although blocking is the favourable solution to it, it has a deep impact on one`s mind. 81 percent of Internet-initiated crime involves social networking sites, mainly Facebook and Twitter due to unhealthy comments and posts. This paper develops the state of art sentiment analysis that provides the particular channel through which any post, comment, message or any other text scrutinized for the sentiment before getting posted to the concerned web and if any unethical sentiment found, action would be placed through defined protocols of that social media. Different sentimental datasets corpus are revived from the cyberspace. Customized naive Bye`s classifier is trained for the prediction of respective sentiments of the text. This paper doesn`t motivate to not to write controversial comments but discourage the unhealthy way of controversy.
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Keywords
Naive Baye`s Algorithm, Sentiment Analysis, Semantic Approach, Lexicon Analysis.