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Volumn , Issue , 2013, Pages 35-59

Sentiment Analysis: Providing Categorical Insight into Unstructured Textual Data

Author keywords

Cagtegorization; Sentiment analysis; Unstructured textual data

Indexed keywords


EID: 84969763381     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781118751534.ch2     Document Type: Chapter
Times cited : (5)

References (8)
  • 1
    • 78649725192 scopus 로고    scopus 로고
    • Pandemics in the age of Twitter: Content analysis of Tweets during the 2009 H1N1 outbreak
    • CHEW, C., & EYSENBACH, G. (2010). Pandemics in the age of Twitter: Content analysis of Tweets during the 2009 H1N1 outbreak. PLoS ONE, 5(11), e14118.
    • (2010) PLoS ONE , vol.5 , Issue.11 , pp. e14118
    • Chew, C.1    Eysenbach, G.2
  • 2
    • 85017468120 scopus 로고    scopus 로고
    • London, UK: Beautiful Books
    • MOBERLY, T. (2011). Text-me-up. London, UK: Beautiful Books.
    • (2011) Text-me-up
    • Moberly, T.1
  • 3
    • 85017414634 scopus 로고    scopus 로고
    • Cambridge, UK: Oxford University Computing Laboratory
    • MOILANEN, K., & PULMAN, S. (2007). Sentiment composition. Cambridge, UK: Oxford University Computing Laboratory.
    • (2007) Sentiment composition
    • Moilanen, K.1    Pulman, S.2
  • 8
    • 33745456231 scopus 로고    scopus 로고
    • Madison: Computer Sciences, University of Wisconsin-Madison
    • ZHU, X. (2008). Semisupervised learning literature survey. Madison: Computer Sciences, University of Wisconsin-Madison.
    • (2008) Semisupervised learning literature survey
    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.