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| LI Dun1,2, QIAO Bao-Jun1,3, CAO Yuan-Da1, WAN Yue-Liang1 |
| 1.School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081 |
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Abstract With the development of internet and the rising of people's demand for information, the research on text orientation recognition is promising and challenging. As the basis of the text orientation recognition, the semantic orientation research of single word is presented in this paper. Using the integrated and detailed definitions of words in HowNet, two seed sets are built by the words with intense sentiment orientation. Then, with the context, the orientation similarity between seed words and common ones is calculated to recognize the sentiment orientation of the latter. The experimental results show that by the proposed method good results can be obtained in common word orientation recognition. Moreover, this method is of certain practical value for large granularity research.
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Received: 06 March 2007
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2008, Vol. 21 
