메뉴 건너뛰기




Volumn , Issue , 2015, Pages 2509-2514

PhraseRNN: Phrase recursive neural network for aspect-based sentiment analysis

Author keywords

[No Author keywords available]

Indexed keywords

SENTIMENT ANALYSIS;

EID: 84959934060     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/d15-1298     Document Type: Conference Paper
Times cited : (298)

References (17)
  • 3
    • 84908161392 scopus 로고    scopus 로고
    • Adaptive multi-compositionality for recursive neural models with applications to sentiment analysis
    • Li Dong, Furu Wei, Ming Zhou, and Ke Xu. 2014b. Adaptive multi-compositionality for recursive neural models with applications to sentiment analysis. In Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), pages 1537-1543.
    • (2014) Twenty-eighth AAAI Conference on Artificial Intelligence (AAAI) , pp. 1537-1543
    • Dong, L.1    Wei, F.2    Zhou, M.3    Xu, K.4
  • 8
    • 84866007229 scopus 로고    scopus 로고
    • A survey of opinion mining and sentiment analysis
    • Springer
    • Bing Liu and Lei Zhang. 2012. A survey of opinion mining and sentiment analysis. In Mining Text Data, pages 415-463. Springer.
    • (2012) Mining Text Data , pp. 415-463
    • Liu, B.1    Zhang, L.2
  • 11
    • 84942519476 scopus 로고    scopus 로고
    • Aspectbased sentiment analysis using tree kernel based relation extraction
    • Alexander Gelbukh, editor, of Lecture Notes in Computer Science, Springer International Publishing
    • Thien Hai Nguyen and Kiyoaki Shirai. 2015a. Aspectbased sentiment analysis using tree kernel based relation extraction. In Alexander Gelbukh, editor, Computational Linguistics and Intelligent Text Processing (CICLing), volume 9042 of Lecture Notes in Computer Science, pages 114-125. Springer International Publishing.
    • (2015) Computational Linguistics and Intelligent Text Processing (CICLing) , vol.9042 , pp. 114-125
    • Nguyen, T.H.1    Shirai, K.2
  • 12
    • 84943756361 scopus 로고    scopus 로고
    • Topic modeling based sentiment analysis on social media for stock market prediction
    • Long Papers, The Association for Computer Linguistics
    • Thien Hai Nguyen and Kiyoaki Shirai. 2015b. Topic modeling based sentiment analysis on social media for stock market prediction. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 1: Long Papers, pages 1354-1364. The Association for Computer Linguistics.
    • (2015) Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL) , vol.1 , pp. 1354-1364
    • Nguyen, T.H.1    Shirai, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.