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The WebGenre Blog: The power of genre applied to digital information. By Marina Santini » Entries tagged with "opinion mining"

Lecture: Sentiment Analysis

Lecture: Sentiment Analysis

Topics: sentiment analysis, affective meaning, connotational aspects, sentiment lexicons, naive bayes baseline algorithm, mutual information, pointwise mutual information, computational semantics, likelihood, Scherer’s typology, emotion classification, opinion mining, sentiment mining, subjectivity analysis, manually-built sentiment lexicons, semi-supervised methods, SentiWordnet, General Enquirer, earning sentiment lexicons, Turney algorithm Sentiment Analysis from Marina Santini … Read entire article »

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Lecture 3: Structuring the Unstructured via Sentiment Analysis

Lecture 3: Structuring Unstructured Texts Through Sentiment Analysis from Marina Santini … Read entire article »

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Thesis Review: Opinion mining and lexical affect sensing

Alexander Osherenko, Opinion mining and lexical affect sensing. Computer-aided analysis of opinions and emotions in texts. PhD thesis published by SVH, 2010 (p. 255) Amazon: http://www.amazon.com/Opinion-mining-lexical-affect-sensing/dp/383812488X;Free download: http://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/1469 Reviewed by Marina Santini The PhD thesis “Opinion mining and lexical affect sensing” by  Alexander Osherenko contains nine chapters, six appendices and an index. The thesis presents approaches to emotion recognition from texts belonging to several emotional corpora. Four approaches are experimented and discussed in detail, namely (1) the statistical approach based on data mining techniques; (2) the semantic approach leveraging on semantic features and grammatical interdependencies; (3)  the hybrid approach that combines the statistical approach and the semantic approach; and finally (4) the multimodal-fusion that builds upon the linguistic modality and acoustic modality. … Read entire article »

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Impact of Sociolinguistics in Opinion Mining Systems

Signed post by Alexander Osherenko, Socioware Development, osherenko@socioware.de Full paper: Considering Impact of Sociolinguistic Findings in Believable Opinion Mining Systems Proceedings of The Fifth International Conference On Cognitive Science. 2012. Kalinigrad, Russia (http://www.informatik.uni-augsburg.de/~osherenk/final_kalinigrad.pdf) Opinions are frequent means of communication in human society and automatic approaches to opinion mining in texts attracted therefore much attention. All in all, most approaches apply data mining techniques and extract lexical features (words) as reliable means of classi cation. Noteworthy that although the interest in opinion mining is huge, there are only few explorations on words extracted in opinion mining. This study considers this drawback and elaborates on a sociolinguistic explanation. We hypothesize: an opinion mining system should be trained for classifying opinions in texts of the same language style. Hence, this contribution focuses on the following questions: 1) do sociolinguistic … Read entire article »

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Mining genres with lexical affect sensing?

Post signed by: Alexander Osherenko, University of Augsburg I gained a comprehensive knowledge in emotion recognition in texts in my PhD thesis “Opinion mining and lexical affect sensing” (http://www.informatik.uni-augsburg.de/~osherenk/promotionsvortrag_english.pdf). In my opinion, this knowledge can be utilized for identifying genres of texts — I don’t think identifying emotions differs much from identifying genres. … Read entire article »

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