Abstract
In this paper, we address the issue of bilingual sentiment lexicon learning(BSLL) which aims to automatically and simultaneously generate sentiment words for two languages. The underlying motivation is that sentiment information from two languages can perform iterative mutual-teaching in the learning procedure. We propose to develop two classifiers to determine the sentiment polarities of words under a co-training framework, which makes full use of the two-view sentiment information from the two languages. The word alignment derived from the parallel corpus is leveraged to design effective features and to bridge the learning of the two classifiers. The experimental results on English and Chinese languages show the effectiveness of our approach in BSLL.
Original language | English |
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Title of host publication | Late-Breaking Developments in the Field of Artificial Intelligence - Papers Presented at the 27th AAAI Conference on Artificial Intelligence, Technical Report |
Publisher | AI Access Foundation |
Pages | 26-28 |
Number of pages | 3 |
Volume | WS-13-17 |
ISBN (Print) | 9781577356288 |
Publication status | Published - 1 Jan 2013 |
Event | 27th AAAI Conference on Artificial Intelligence, AAAI 2013 - Bellevue, WA, United States Duration: 14 Jul 2013 → 18 Jul 2013 |
Conference
Conference | 27th AAAI Conference on Artificial Intelligence, AAAI 2013 |
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Country | United States |
City | Bellevue, WA |
Period | 14/07/13 → 18/07/13 |
ASJC Scopus subject areas
- Engineering(all)