메뉴 건너뛰기




Volumn 2, Issue , 2013, Pages 483-489

FBM: Combining lexicon-based ML and heuristics for social media polarities

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; LINGUISTICS; SEMANTICS; SOCIAL NETWORKING (ONLINE);

EID: 84985011896     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (9)
  • 3
    • 84860539465 scopus 로고    scopus 로고
    • Technical Report Institute of Information Science and Technologies (ISTI) of the Italian National Research Council (CNR
    • Esuli, Andrea and Fabrizio Sebastiani. 2007. SEN-TIWORDNET: a high-coverage lexical resource for opinion mining. Technical Report ISTI-PP-002/2007, Institute of Information Science and Technologies (ISTI) of the Italian National Research Council (CNR).
    • (2007) SEN-TIWORDNET: A High-Coverage Lexical Resource for Opinion Mining
    • Esuli, A.1    Sebastiani, F.2
  • 9
    • 70349529656 scopus 로고    scopus 로고
    • Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis
    • Wilson, Theresa, Janyce Wiebe and Paul Hoffmann. 2010. Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis. Computational Linguistics, 35(3), 399–433.
    • (2010) Computational Linguistics , vol.35 , Issue.3 , pp. 399-433
    • Wilson, T.1    Wiebe, J.2    Hoffmann, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.