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

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: Emotion in Information Retrieval

Moshfeghi, Yashar (2012) Role of emotion in information retrieval PhD thesis Submitted in fulfilment of the requirements for the title of Doctor of Philosophy School of Computing Science, College of Science and Engineering, University of Glasgow, UK. Thesis Download (A copy can be downloaded for personal non-commercial research or study, without prior permission or charge) Amazon UK — Amazon USA Review by Marina Santini The PhD thesis Role of emotion in information retrieval by Yashar Moshfeghi starts filling a gap in an area of Information Retrieval (IR) and Information Studies (IS) that is still underinvestigated: the role played by emotion in searchers’ behaviour. Although it is crystal clear that searchers use emotionally-rich documents from the internet to satisfy their needs — from blogs to tweets — the influence that emotion might have in information retrieval and … 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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Reading Suggestions: Meaning & Genre — Affect & Buying Behaviour

1)  Pattern and Meaning across Genres and Disciplines: An Exploratory Study Author:    Groom, Nicholas Journal of English for Academic Purposes, v4 n3 p257-277 Jul 2005 Abstract:    Work in corpus linguistics has led to the development of a theory of language as “phraseology” [Hunston, S., & Francis, G. (1999). "Pattern grammar: A corpus-driven approach to the lexical grammar of English." Amsterdam: John Benjamins. Sinclair, J. M. (1991). "Corpus, concordance, collocation." Oxford: Oxford University Press. Sinclair, J. M. (2004). "Trust the text: Language, corpus and discourse." London: Routledge.]. This paper investigates whether and to what extent phraseology, as exemplified by the grammar patterns “it” v-link ADJ that- (e.g. “It is clear that the problem of evidence continues to vex new historicist criticism”) and “it” v-link ADJ to-inf (e.g. “it is important to compare unemployment rates … Read entire article »

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Reading Suggestion: Adjectives and adverbs as indicators of affective language for automatic genre detection (2008)

Rittman, Robert and Nina Wacholder. (2008). Adjectives and adverbs as indicators of affective language for automatic genre detection. Proceedings of AISB 2008 Convention, Symposium on Affective Language. Aberdeen, Scotland, April 1-2, 2008. Abstract. We report the results of a systematic study of the feasibility of automatically classifying documents by genre using adjectives and adverbs as indicators of affective language. In addition to the class of adjectives and adverbs, we focus on two specific subsets of adjectives and adverbs: (1) trait adjectives, used by psychologists to assess human personality traits, and (2) speaker-oriented adverbs, studied by linguists as markers of narrator attitude. We report the results of our machine learning experiments using Accuracy Gain, a measure more rigorous than the standard measure of Accuracy. We find that it is possible to classify … 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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