메뉴 건너뛰기




Volumn 333 CCIS, Issue , 2012, Pages 69-77

Dependency forest for sentiment analysis

Author keywords

dependency forest; sentiment analysis

Indexed keywords

BAG OF WORDS; DATA SETS; DEPENDENCY FOREST; DEPENDENCY GRAMMAR; DEPENDENCY TREES; EXTRACTING FEATURES; MULTIPLE DEPENDENCIES; SENTIMENT ANALYSIS; STATE-OF-THE-ART PERFORMANCE; TREE-BASED;

EID: 84869203256     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-34456-5_7     Document Type: Conference Paper
Times cited : (13)

References (23)
  • 2
    • 84859887879 scopus 로고    scopus 로고
    • Forest reranking: Discriminative parsing with non-local features
    • May
    • Huang, L.: Forest reranking: discriminative parsing with non-local features. In: Proceedings of ACL 2008: HLT, Columbus, Ohio, pp. 586-594 (May 2008)
    • (2008) Proceedings of ACL 2008: HLT, Columbus, Ohio , pp. 586-594
    • Huang, L.1
  • 6
    • 79251594122 scopus 로고    scopus 로고
    • Generalizing dependency features for opinion mining
    • Association for Computational Linguistics, Suntec
    • Joshi, M., Penstein-Rosé, C.: Generalizing dependency features for opinion mining. In: Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pp. 313-316. Association for Computational Linguistics, Suntec (2009)
    • (2009) Proceedings of the ACL-IJCNLP 2009 Conference Short Papers , pp. 313-316
    • Joshi, M.1    Penstein-Rosé, C.2
  • 12
    • 26944452025 scopus 로고    scopus 로고
    • Sentiment Classification Using Word Sub-sequences and Dependency Sub-trees
    • Ho, T.-B., Cheung, D., Liu, H. (eds.) PAKDD 2005. Springer, Heidelberg
    • Matsumoto, S., Takamura, H., Okumura, M.: Sentiment Classification Using Word Sub-sequences and Dependency Sub-trees. In: Ho, T.-B., Cheung, D., Liu, H. (eds.) PAKDD 2005. LNCS (LNAI), vol. 3518, pp. 301-311. Springer, Heidelberg (2005)
    • (2005) LNCS (LNAI) , vol.3518 , pp. 301-311
    • Matsumoto, S.1    Takamura, H.2    Okumura, M.3
  • 14
    • 33750333944 scopus 로고    scopus 로고
    • Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees
    • Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) ECML 2006. Springer, Heidelberg
    • Moschitti, A.: Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) ECML 2006. LNCS (LNAI), vol. 4212, pp. 318-329. Springer, Heidelberg (2006)
    • (2006) LNCS (LNAI) , vol.4212 , pp. 318-329
    • Moschitti, A.1
  • 16
    • 80053417049 scopus 로고    scopus 로고
    • Kernels on Linguistic Structures for Answer Extraction
    • Association for Computational Linguistics, Columbus
    • Moschitti, A., Quarteroni, S.: Kernels on Linguistic Structures for Answer Extraction. In: Proceedings of ACL 2008: HLT, Short Papers, pp. 113-116. Association for Computational Linguistics, Columbus (2008)
    • (2008) Proceedings of ACL 2008: HLT, Short Papers , pp. 113-116
    • Moschitti, A.1    Quarteroni, S.2
  • 19
    • 84869206519 scopus 로고    scopus 로고
    • Identifying high-impact sub-structures for convolution kernels in document-level sentiment classification
    • Short Papers, Association for Computational Linguistics, Jeju Island
    • Tu, Z., He, Y., Foster, J., van Genabith, J., Liu, Q., Lin, S.: Identifying high-impact sub-structures for convolution kernels in document-level sentiment classification. In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 338-343. Association for Computational Linguistics, Jeju Island (2012)
    • (2012) Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics , vol.2 , pp. 338-343
    • Tu, Z.1    He, Y.2    Foster, J.3    Van Genabith, J.4    Liu, Q.5    Lin, S.6
  • 23
    • 84859028757 scopus 로고    scopus 로고
    • Automatically generating annotator rationales to improve sentiment classification
    • Association for Computational Linguistics, Uppsala
    • Yessenalina, A., Choi, Y., Cardie, C.: Automatically generating annotator rationales to improve sentiment classification. In: Proceedings of the ACL 2010 Conference Short Papers, pp. 336-341. Association for Computational Linguistics, Uppsala (2010)
    • (2010) Proceedings of the ACL 2010 Conference Short Papers , pp. 336-341
    • Yessenalina, A.1    Choi, Y.2    Cardie, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.