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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Changhou Wang Fei Wang |
| Copyright Year | 2012 |
| Abstract | Sentiment (or opinionated) lexicon plays an important part in sentiment analysis (or opinion mining) tasks. With the popularity of Social Network platforms such as tweeter and microblog, net neologisms welcome the spring of development and popularity. With the blooming of net neologisms, it is quite necessary to identify new sentiment words and improve current sentiment lexicon. This paper proposes a pattern based bootstrapping method which extracts sentiment words from microblogs. Consider that frequently used sentiment words always appear after degree adverbs, we enhance the importance of degree adverbs in patterns. The experimental results validate the effectiveness of our method and large quantity of unrecorded sentiment words are extracted with reasonable precision. |
| Starting Page | 2173 |
| Ending Page | 2176 |
| File Size | 376530 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467307215 |
| e-ISBN | 9780769547190 |
| DOI | 10.1109/CSSS.2012.540 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Context Vocabulary Degree adverbs Media Pattern based Educational institutions Sentiment words Unrecorded words Net neologisms Standards Bootstrapping Semantics Market research |
| Content Type | Text |
| Resource Type | Article |
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