Twitter microblog sentiment analysis
Twitter microblog sentiment analysis aims to identify and detect the sentiments or emotions present in a microblog post. The techniques developed for microblog sentiment analysis can also be applied to classify social media data in a real-time manner.
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Institutional Knowledge at Singapore Management University
2014
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sg-smu-ink.sis_research-51892018-12-07T02:30:19Z Twitter microblog sentiment analysis LI, Guangxia CHANG, Kuiyu HOI, Steven C. H. Twitter microblog sentiment analysis aims to identify and detect the sentiments or emotions present in a microblog post. The techniques developed for microblog sentiment analysis can also be applied to classify social media data in a real-time manner. 2014-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/4186 info:doi/10.1007/978-1-4614-6170-8_265 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Social Media |
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Singapore Management University |
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SMU Libraries |
| continent |
Asia |
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Singapore Singapore |
| content_provider |
SMU Libraries |
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InK@SMU |
| language |
English |
| topic |
Databases and Information Systems Social Media |
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Databases and Information Systems Social Media LI, Guangxia CHANG, Kuiyu HOI, Steven C. H. Twitter microblog sentiment analysis |
| description |
Twitter microblog sentiment analysis aims to identify and detect the sentiments or emotions present in a microblog post. The techniques developed for microblog sentiment analysis can also be applied to classify social media data in a real-time manner. |
| format |
text |
| author |
LI, Guangxia CHANG, Kuiyu HOI, Steven C. H. |
| author_facet |
LI, Guangxia CHANG, Kuiyu HOI, Steven C. H. |
| author_sort |
LI, Guangxia |
| title |
Twitter microblog sentiment analysis |
| title_short |
Twitter microblog sentiment analysis |
| title_full |
Twitter microblog sentiment analysis |
| title_fullStr |
Twitter microblog sentiment analysis |
| title_full_unstemmed |
Twitter microblog sentiment analysis |
| title_sort |
twitter microblog sentiment analysis |
| publisher |
Institutional Knowledge at Singapore Management University |
| publishDate |
2014 |
| url |
https://ink.library.smu.edu.sg/sis_research/4186 |
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