Multi-emotion detection in user-generated reviews
| Authors |
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| Publication date | 2015 |
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| Book title | Advances in Information Retrieval |
| Book subtitle | 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29-April 2, 2015 : proceedings |
| ISBN |
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| ISBN (electronic) |
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| Series | Lecture Notes in Computer Science |
| Event | ECIR 2015: 37th European Conference on Information Retrieval |
| Pages (from-to) | 43-48 |
| Publisher | Cham: Springer |
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| Abstract | Expressions of emotion abound in user-generated content, whether it be in blogs, reviews, or on social media. Much work has been devoted to detecting and classifying these emotions, but little of it has acknowledged the fact that emotionally charged text may express multiple emotions at the same time. We describe a new dataset of user-generated movie reviews annotated for emotional expressions, and experimentally validate two algorithms that can detect multiple emotions in each sentence of these reviews. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1007/978-3-319-16354-3_5 |
| Downloads |
ecir2015-sp-emotion
(Accepted author manuscript)
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| Permalink to this page | |
