| Description: | This paper discusses learning to identify emotions in text. Abstract: This paper describes experiments concerned with the automatic analysis of emotions in text. We describe the construction of a large data set annotated for six basic emotions: Anger, Disgust, Fear, Joy, Sadness, and Surprise, and we propose and evaluate several knowledge-based and corpus-based methods for the automatic identification of these emotions in text. |
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| Creator(s): | |
| Creation Date: | March 2008 |
| Partner(s): |
UNT College of Engineering
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| Collection(s): |
UNT Scholarly Works
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| Usage: |
Total Uses: 492
Past 30 days: 33
Yesterday: 2
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| Creator (Author): |
Strapparava, Carlo, 1962-
Fondazione Bruno Kessler (FBK)-IRST |
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| Creator (Author): |
Mihalcea, Rada, 1974-
University of North Texas |
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| Publisher Info: |
Publisher Name: Association for Computing Machinery
Place of Publication: [New York, New York]
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| Original Creation Date: | March 2008 | |
| Description: | This paper discusses learning to identify emotions in text. Abstract: This paper describes experiments concerned with the automatic analysis of emotions in text. We describe the construction of a large data set annotated for six basic emotions: Anger, Disgust, Fear, Joy, Sadness, and Surprise, and we propose and evaluate several knowledge-based and corpus-based methods for the automatic identification of these emotions in text. |
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| Degree: |
Department:
Computer Science and Engineering
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| Physical Description: |
5 p. |
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| Keyword(s): | natural language processing | text analysis | emotion annotations | emotion analysis | sentiment analysis | |
| Source: | Twenty-Third Annual Symposium on Applied Computing (ACM-SAC), 2008, Ceará, Brazil | |
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| Partner: |
UNT College of Engineering
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| Collection: |
UNT Scholarly Works
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| Resource Type: | Paper | |
| Format: | Text | |
| Rights: |
Access:
Public
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