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Generación automática de frases literarias
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In: Linguamática, Vol 12, Iss 1 (2020) (2020)
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CLEF 2017 Microblog Cultural Contextualization Lab Overview
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In: Experimental IR Meets Multilinguality, Multimodality, and Interaction ; https://hal.univ-brest.fr/hal-01793839 ; Liana Ermakova, Lorraine Goeuriot, Josiane Mothe, Philippe Mulhem, Jian-Yun Nie, Eric SanJuan. Experimental IR Meets Multilinguality, Multimodality, and Interaction, Sep 2017, Dublin, Ireland. pp.304-314, 2017 ; https://link.springer.com/chapter/10.1007%2F978-3-319-65813-1_27 (2017)
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Combining Vector Space Model and Multi Word Term Extraction for Semantic Query Expansion
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In: http://hal.inria.fr/docs/00/63/61/05/PDF/NLDB-07-last-version.pdf (2011)
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DOI:10.1145/1458082.1458334 Decomposition of Terminology Graphs for Domain Knowledge Acquisition
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In: http://hal.inria.fr/docs/00/63/60/39/PDF/cikm630-ibekwesanjuan.pdf (2011)
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Visual Analysis of Conflicting Opinions
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In: http://fidelia1.free.fr/chen.pdf (2006)
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Abstract:
Understanding the nature and dynamics of conflicting opinions is a profound and challenging issue. In this paper we address several aspects of the issue through a study of more than 3,000 Amazon customer reviews of the controversial bestseller The Da Vinci Code, including 1,738 positive and 918 negative reviews. The study is motivated by critical questions such as: What are the differences between positive and negative reviews? What is the origin of a particular opinion? How do these opinions change over time? To what extent can differentiating features be identified from unstructured text? How accurately can these features predict the category of a review? We first analyze terminology variations in these reviews in terms of syntactic, semantic, and statistic associations identified by TermWatch and use term variation patterns to depict underlying topics. We then select the most predictive terms based on log likelihood tests and demonstrate that this small set of terms classifies over 70 % of the conflicting reviews correctly. This feature selection process reduces the dimensionality of the feature space from more than 20,000 dimensions to a couple of hundreds. We utilize automatically generated decision trees to facilitate the understanding of conflicting opinions in terms of these highly predictive terms. This study also uses a number of visualization and modeling tools to identify not only what positive and negative reviews have in common, but also they differ and evolve over time.
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Keyword:
conflicting opinions; H.5.2 [Information Interfaces and Presentation; Linguistic Processing; terminology variation; User Interfaces —Graphical User Interfaces. Keywords; Visual analytics
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.492.247
http://fidelia1.free.fr/chen.pdf
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Visual analysis of conflicting opinions
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In: http://cluster.cis.drexel.edu/~cchen/papers/confs/vast2006-chen.pdf (2006)
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Mapping the structure of research topics through term variant clustering: the TermWatch system; JADT 2004: 7es Journées internationales d'Analyse statistique des Données Textuelles
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In: http://www.cavi.univ-paris3.fr/lexicometrica/jadt/jadt2004/pdf/JADT_056.pdf (2004)
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Mapping the structure of research topics through term variant clustering: the TermWatch system; JADT 2004: 7es Journées internationales d'Analyse statistique des Données Textuelles
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In: http://fidelia1.free.fr/ibe-jadt04.pdf (2004)
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Classification Et Désarticulation De Graphes De Termes
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In: http://www.isima.fr/sigayret/jadt04.pdf (2004)
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A symbolic approach to automatic multiword term structuring
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In: http://fidelia1.free.fr/MWE.pdf (2000)
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Phrase Clustering without document context
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In: http://fidelia1.free.fr/sanjuan_ibekwe_poster.pdf
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Abstract Text mining without document context
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In: http://fidelia1.free.fr/ipm.pdf
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ABSTRACT Visual Analysis of Conflicting Opinions
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In: http://cluster.cis.drexel.edu/~cchen/projects/nevac/vast2006-chen.pdf
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Unsupervised mining of knowledge gaps
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In: http://lexicometrica.univ-paris3.fr/jadt/jadt2010/allegati/JADT-2010-0709-0718_175-Fernandez.pdf
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Author manuscript, published in "28th European Conference on Information Retrieval (ECIR-06)., London: United Kingdom (2006)" DOI:10.1007/11735106 Phrase Clustering without document context
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In: http://hal.inria.fr/docs/00/63/61/50/PDF/sanjuan_ibekwe.pdf
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Bilingual and Cross Domain Politics Analysis
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In: http://www.rcs.cic.ipn.mx/2014_85/Bilingual%20and%20Cross%20Domain%20Politics%20Analysis.pdf
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Extending Automatic Discourse Segmentation for Texts in Spanish to Catalan
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In: http://ceur-ws.org/Vol-1589/MultiLingMine4.pdf
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Combining Vector Space Model and Multi Word Term Extraction for Semantic Query Expansion
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In: http://daniel.iut.univ-metz.fr/eric/ir_model_esj.pdf
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Overview of INEX Tweet Contextualization 2013 track
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In: http://ceur-ws.org/Vol-1179/CLEF2013wn-INEX-BellotEt2013.pdf
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