Semantic dependent word pairs generative model for fine-grained product feature mining

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6634 LNAI, Issue PART 1, 2011, Pages 460-475

  Zhan, Tian Jie ^a   Li, Chun Hung ^a  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

generative model; Product feature mining; semantic dependency

Indexed keywords

SEMANTICS; SENTIMENT ANALYSIS; STATISTICS;

BASELINE MODELS; DEPENDENCY TREES; GENERATIVE MODEL; IMPORTANT FEATURES; LATENT DIRICHLET ALLOCATIONS; PRODUCT FEATURE; SEMANTIC DEPENDENCY; SEMANTIC RELATIONS;

DATA MINING;

EID: 79957939459     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-20841-6_38     Document Type: Conference Paper

References (15)

1. Hu, M., Liu, B.: Mining and Summarizing Customer Reviews. In: ACM SIGKDD (2004)
2. Ding, X., Liu, B., Yu, P.S.: A Holistic Lexicon based Approach to Opinion Mining. In: WSDM, pp. 231-239 (2008)
3. Brody, S., Elhadad, N.: An Unsupervised Aspect-Sentiment Model for Online Reviews. In: NAACL, Los Angeles, CA, pp. 804-812 (2010)
4. Guo, H., Zhu, H., Guo, Z., Zhang, X.X., Su, Z.: Product feature categorization with multilevel latent semantic association. In: CIKM, pp. 108-121 (2009)
5. Raju, S., Shishtla, P., Varma, V.: A Graph Clustering Approach to Product Attribute Extraction. In: Indian International Conference on Artificial Intelligence (2009)
6. Joshi, M., Penstein-Ros, C.: Generalizing dependency features for opinion mining. In: ACL-IJCNLP (2009)
7. Zhan, T.J., Li, C.H.: Product Feature Mining with Nominal Semantic Structure. In: IEEE/WIC/ACM International Conference on Web Intelligence (2010)
8. Wallach, H.: Structured Topic Models for Language", PhD thesis, University of Cambridge (2008)
9. A NLP package, http://opennlp.sourceforge.net/
10. Blei, D.M., Ng, A.Y., Jordan, M.I., Lafferty, J.: Latent Dirichlet Allocation. JMLR (2003)
11. Nivre, J., Hall, J.: MaltParser: A Language-Independent System for Data-Driven Dependency Parsing. In: Proceedings of the Fourth Workshop on Treebanks and Linguistic Theories (2005)
12. Ganu, G., Elhadad, N., Marian, A.: Beyond the stars: Improving rating predictions using review text content. In: WebDB (2009)
13. TripAdvisor datasets discussed in this paper, http://patty.isti.cnr.it/ ~baccianella/reviewdata/
14. Wallach, H., Mimno, D., McCallum, A.: Rethinking LDA: Why Priors Matter. In: NIPS (2009)
15. A popular public stop-word list, http://truereader.com/manuals/onix/ stopwords.html