Travelled to:1 × China
1 × France
1 × Germany
1 × Korea
1 × Portugal
1 × Singapore
1 × The Netherlands
1 × USA
1 × United Kingdom
2 × Brazil
Collaborated with:X.Cheng Y.Wang Z.Lin H.Xu W.Du G.Wu X.Xu M.Ghanem B.Wang H.Tang W.Shi Y.Liu Y.Guo
Talks about:sentiment (7) use (6) text (5) domain (4) lexicon (3) categor (3) refin (3) transfer (2) classifi (2) centroid (2)
Person: Songbo Tan
DBLP: Tan:Songbo
Contributed to:
201220112009
2009
2008
200820072007200720052005Wrote 13 papers:
- CIKM-2012-LinTCXS #effectiveness #performance #sentiment #using
- Effective and efficient?: bilingual sentiment lexicon extraction using collocation alignment (ZL, ST, XC, XX, WS), pp. 1542–1546.
- CIKM-2012-XuTLCL #aspect-oriented #sentiment #towards
- Towards jointly extracting aspects and aspect-specific sentiment knowledge (XX, ST, YL, XC, ZL), pp. 1895–1899.
- CIKM-2011-LinTC #classification #independence #sentiment #using #word
- Language-independent sentiment classification using three common words (ZL, ST, XC), pp. 1041–1046.
- CIKM-2009-DuT #sentiment
- Building domain-oriented sentiment lexicon by improved information bottleneck (WD, ST), pp. 1749–1752.
- ECIR-2009-TanCWX #adaptation #analysis #naive bayes #sentiment
- Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis (ST, XC, YW, HX), pp. 337–349.
- SAC-2008-TanWC #categorisation #performance #ranking
- An efficient feature ranking measure for text categorization (ST, YW, XC), pp. 407–413.
- SAC-2008-TanWWC #detection #problem #semantics #using
- Using unlabeled data to handle domain-transfer problem of semantic detection (ST, YW, GW, XC), pp. 896–903.
- SIGIR-2008-TanWC #detection #sentiment #using
- Combining learn-based and lexicon-based techniques for sentiment detection without using labeled examples (ST, YW, XC), pp. 743–744.
- CIKM-2007-TanWTC #analysis #novel #problem #sentiment
- A novel scheme for domain-transfer problem in the context of sentiment analysis (ST, GW, HT, XC), pp. 979–982.
- SAC-2007-TanC #classification #using
- Using hypothesis margin to boost centroid text classifier (ST, XC), pp. 398–403.
- SIGIR-2007-TanW #categorisation
- Combining error-correcting output codes and model-refinement for text categorization (ST, YW), pp. 699–700.
- CIKM-2005-TanCGWX #approach #categorisation #novel #refinement
- A novel refinement approach for text categorization (ST, XC, MG, BW, HX), pp. 469–476.
- SIGIR-2005-TanCWXGG #classification #using
- Using dragpushing to refine centroid text classifiers (ST, XC, BW, HX, MG, YG), pp. 653–654.