A novel adaptable approach for sentiment analysis on big social data
Abstract Gathering public opinion by analyzing big social data has attracted wide attention due to its interactive and real time nature. For this, recent studies have relied on both social media and sentiment analysis in order to accompany big events by tracking people’s behavior. In this paper, we...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-03-01
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Series: | Journal of Big Data |
Online Access: | http://link.springer.com/article/10.1186/s40537-018-0120-0 |