Hashtag Sentiment Analysis using Tweets for the Ternary Classification
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2018 by IJCTT Journal | ||
| Volume-57 Number-2 |
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| Year of Publication : 2018 | ||
| Authors : Jael Jayakumar , Indira Tamilselvam , Blessy Selvam | ||
| DOI : 10.14445/22312803/IJCTT-V57P118 |
Jael Jayakumar , Indira Tamilselvam , Blessy Selvam,"Hashtag Sentiment Analysis using Tweets for the Ternary Classification". International Journal of Computer Trends and Technology (IJCTT) V57(2):94-97, March 2018. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract
To analyze the utility of the linguistic features for detecting the sentiment of the given Twitter messages. Evaluating the usefulness of existing lexical resources as well as features that capture information about the informal and creative language used in micro blogging. In addition to,apply for a supervised approach to the problem, but to make use of the existing hashtags in the Twitter data for building training data.
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Keywords
NLP, micro blogging, data