TWITTER CLASSIFICATION OF THE COMMENTS USING ARTIFICIAL NEURAL IN SOCIAL MEDIA
| Author(s) | : | Miss. Pooja Giri |
| Institution | : | DY Patil College of Engineering, Ambi, Pune |
| Published In | : | Vol. 5, Issue 7 — July 2018 |
| Page No. | : | 49-54 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
With the advancement in net technology, there's vista amount of data gift within the web world. These info orinformation is provided by the web the web the net} users by accessing the information on the market on internet andevery now and then giving necessary feedback, so adding a lot of helpful info. Thanks to the presence of enormousquantity of data like user views, feedback and suggestions on the market on the online, it's become extremely essential toexplore and analyze their views for higher understanding and deciding. Opinion mining conjointly referred to assentiment analysis could be a technique victimisation which of them views or sentiments are often classier into positiveor negative comments. The most standard communication tool currently days is small blogging. Conjointly great deal ofknowledge is shared on the social networking sites. so social networking sites will function an excellent platform forsentiment analysis. We have done state of the art rigorous literature survey in sentiment analysis. We've got projectedalgorithms that perform higher and square measure a lot of efficient in evaluating the opinions.
Miss. Pooja Giri, “TWITTER CLASSIFICATION OF THE COMMENTS USING ARTIFICIAL NEURAL IN SOCIAL MEDIA”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 7, pp. 49-54, July 2018.
