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1
Effectiveness gain of polarity detection through topic domains
In: SEMAPRO 2013 conference ; 7th International Conference on Advances in Semantic Processing (SEMAPRO 2013) ; https://hal.archives-ouvertes.fr/hal-01178567 ; 7th International Conference on Advances in Semantic Processing (SEMAPRO 2013), Sep 2013, Porto, Portugal. pp. 62-67 (2013)
Abstract: National audience ; Most of the work on polarity detection consists in finding out negative or positive words in a document using sentiment lexical resources. Indeed, some versions of such approaches have performed well but most of these approaches rely only on prior polarity of words and do not exploit the contextual polarity of words. Sentiment semantics of a term vary from one domain to another. For example, the word "unpredictable" conveys a positive feeling about a movie plot, but the same word conveys negative feeling in context of operating of a digital camera. In this work, we demonstrate this aspect of sentiment polarity. We use TREC Blog 2006 Data collection with topics of TREC Blog 2006 and 2007 for experimentation. The results of our experiments showed an improvement (95%) on polarity detection. The conclusion is that the context plays a role on the polarity of each word.
Keyword: [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]; [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT]; Blogs; Information retrieval; Polarity; Query
URL: https://hal.archives-ouvertes.fr/hal-01178567/document
https://hal.archives-ouvertes.fr/hal-01178567/file/belbachir_13018.pdf
https://hal.archives-ouvertes.fr/hal-01178567
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2
Combining Granularity-based Topic-Dependent and Topic-Independent Evidences for Opinion Detection
Missen, Malik Muhammad Saad. - : HAL CCSD, 2011
In: https://tel.archives-ouvertes.fr/tel-00600439 ; Human-Computer Interaction [cs.HC]. Université Paul Sabatier - Toulouse III, 2011. English (2011)
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