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Volumn , Issue , 2014, Pages 24-30

Aspect-Level Sentiment Analysis in Czech

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; SUPERVISED LEARNING;

EID: 85121804536     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (27)
  • 3
    • 79955887918 scopus 로고    scopus 로고
    • A machine learning approach to sentiment analysis in multilingual web texts
    • Erik Boiy and Marie-Francine Moens. 2009. A machine learning approach to sentiment analysis in multilingual web texts. Information retrieval, 12(5):526-558.
    • (2009) Information retrieval , vol.12 , Issue.5 , pp. 526-558
    • Boiy, Erik1    Moens, Marie-Francine2
  • 12
    • 84884939994 scopus 로고    scopus 로고
    • Crfbased czech named entity recognizer and consolidation of czech ner research
    • Ivan Habernal and Václav Matoušek, editors, pages Springer Berlin Heidelberg
    • Michal Konkol and Miloslav Konopík. 2013. Crfbased czech named entity recognizer and consolidation of czech ner research. In Ivan Habernal and Václav Matoušek, editors, Text, Speech and Dialogue, volume 8082 of Lecture Notes in Computer Science, pages 153-160. Springer Berlin Heidelberg.
    • (2013) Text, Speech and Dialogue, volume 8082 of Lecture Notes in Computer Science , pp. 153-160
    • Konkol, Michal1    Konopík, Miloslav2
  • 20
    • 0024610919 scopus 로고    scopus 로고
    • A tutorial on hidden markov models and selected applications in speech recognition
    • Lawrence Rabiner. 2010. A tutorial on hidden markov models and selected applications in speech recognition. In Proceedings of the IEEE, pages 257-286.
    • (2010) Proceedings of the IEEE , pp. 257-286
    • Rabiner, Lawrence1
  • 27
    • 84873706018 scopus 로고    scopus 로고
    • Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news
    • March
    • Liang-Chih Yu, Jheng-Long Wu, Pei-Chann Chang, and Hsuan-Shou Chu. 2013. Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news. Knowledge Based Syst, 41:89-97, March.
    • (2013) Knowledge Based Syst , vol.41 , pp. 89-97
    • Yu, Liang-Chih1    Wu, Jheng-Long2    Chang, Pei-Chann3    Chu, Hsuan-Shou4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.