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User Classification in Twitter Based on Sentiment Analysis on user Tweets
| Content Provider | Semantic Scholar |
|---|---|
| Author | Paul, Vince |
| Copyright Year | 2017 |
| Abstract | This work user classification in twitter deals with classification of the twitter users based on their tweets till dated. Each tweets and re tweets of each users are taken and sentiment analysis is performed .By aggregating the sentiment score of whole tweets of the user his total user score is calculated based on the user score users are classified into different groups like highly positive neutral positive highly negative neutral negative .users who came under negative side will be warned first about their negative behaviour and if they continue they will be blocked. |
| Starting Page | 1735 |
| Ending Page | 1740 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| Volume Number | 5 |
| Alternate Webpage(s) | http://www.ijcsec.com/2017/5517351740.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
