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Volumn 7224 LNCS, Issue , 2012, Pages 561-564

Combining probabilistic language models for aspect-based sentiment retrieval

Author keywords

aspect retrieval; language models; Sentiment analysis

Indexed keywords

ASPECT RETRIEVAL; CUSTOMER REVIEW; DEPENDENCE ANALYSIS; LANGUAGE MODEL; PROBABILISTIC LANGUAGE; SENTIMENT ANALYSIS;

EID: 84860146017     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-28997-2_64     Document Type: Conference Paper
Times cited : (6)

References (4)
  • 1
    • 84893382510 scopus 로고    scopus 로고
    • Multi-document summarization of evaluative text
    • Carenini, G., Ng, R., Pauls, A.: Multi-document summarization of evaluative text. In: Proc. of EACL 2006, pp. 305-312 (2006)
    • (2006) Proc. of EACL , vol.2006 , pp. 305-312
    • Carenini, G.1    Ng, R.2    Pauls, A.3
  • 3
    • 84859089280 scopus 로고    scopus 로고
    • Aspect ranking: Identifying important product aspects from online consumer reviews
    • Yu, J., Zha, Z., Wang, M., Chua, T.: Aspect ranking: identifying important product aspects from online consumer reviews. In: Proc. of ACL 2011, pp. 1496-1505 (2011)
    • (2011) Proc. of ACL , pp. 1496-1505
    • Yu, J.1    Zha, Z.2    Wang, M.3    Chua, T.4
  • 4
    • 79955704875 scopus 로고    scopus 로고
    • Extracting and ranking product features in opinion documents
    • Zhang, L., Liu, B., Lim, S.H., O'Brien-Strain, E.: Extracting and ranking product features in opinion documents. In: Proc. of COLING 2010, pp. 1462-1470 (2010)
    • (2010) Proc. of COLING , vol.2010 , pp. 1462-1470
    • Zhang, L.1    Liu, B.2    Lim, S.H.3    O'Brien-Strain, E.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.