Twitter Sentiment Analysis for Predicting Election Results |
Author(s): |
| Chetana Thombare , PVPIT, College of Engineering , Pune, Maharashtra; Dr. B. K. Sarkar, PVPIT, College of Engineering , Pune, Maharashtra |
Keywords: |
| Sentiment Analysis, Natural Language Processing, Training Data |
Abstract |
|
Twitter becomes one of the important platforms for interaction. Twitter allows people to have their own accounts to comment, express feelings and convey emotions via texts as well as emoticons. When a certain issue is discussed, monitoring such information becomes difficult since there are too many suggestions and the problems usually tend to be overlooked. Thus, this paper aims to identify the opinion mining and sentiment analysis components for extracting both English and Malay words in Twitter. Information, in terms of texts, are extracted and clustered into emotions. |
Other Details |
|
Paper ID: IJSRDV6I80368 Published in: Volume : 6, Issue : 8 Publication Date: 01/11/2018 Page(s): 608-609 |
Article Preview |
|
|
|
|
