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On Multi-domain Sentence Level Sentiment Analysis for Roman Urdu ...
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On Multi-domain Sentence Level Sentiment Analysis for Roman Urdu
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Using Twitter Streams for Opinion Mining: a case study on Airport Noise
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In: ISSN: 1865-0929 ; Communications in Computer and Information Science ; https://hal.archives-ouvertes.fr/hal-03018998 ; Communications in Computer and Information Science, Springer Verlag, 2020, ⟨10.1007/978-3-030-44900-1_10⟩ (2020)
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Classifying User Experience based on the Intention to Communicate.
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In: ISSN: 1548-0992 ; IEEE Latin America Transactions ; https://hal.archives-ouvertes.fr/hal-03550858 ; IEEE Latin America Transactions, Institute of Electrical and Electronics Engineers, 2020, 18 (8), pp.1337-1344 (2020)
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An Enhanced Corpus for Arabic Newspapers Comments
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In: ISSN: 1683-3198 ; International Arab Journal of Information Technology ; https://hal.archives-ouvertes.fr/hal-03124728 ; International Arab Journal of Information Technology, Colleges of Computing and Information Society (CCIS), 2020, 17 (5), pp.789-798. ⟨10.34028/iajit/17/5/12⟩ (2020)
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FEEL: a French Expanded Emotion Lexicon
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In: https://hal-lirmm.ccsd.cnrs.fr/lirmm-02136090 ; 2019, ⟨swh:1:dir:35a446bb6f0808aa0db6f5bcd032f43e9ec71591;origin=https://hal.archives-ouvertes.fr/lirmm-02136090;visit=swh:1:snp:9d258bfd8a07f79cb8063b6ac33d6e710bd3e3f3;anchor=swh:1:rev:2266d773cf993b8718a1d7ca1d1bce145118f527;path=/⟩ (2019)
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Sentiment and emotion analysis of complex reviews ; Analyse des sentiments et des émotions de commentaires complexes en langue française
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In: https://tel.archives-ouvertes.fr/tel-02903247 ; Linguistique. Université de Bretagne Sud, 2019. Français. ⟨NNT : 2019LORIS522⟩ (2019)
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Diversité et recommandation : une investigation sur l’apport de la fouille d’opinions pour la distinction d’articles d’opinion dans une controverse médiatique
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Improving Attitude Words Classification for Opinion Mining using Word Embedding
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Detección de Patrones Psicolingüísticos para el Análisis de Lenguaje Subjetivo en Español ; Psycholinguistic Patterns Detection for Analyzing the Subjective Language in Spanish
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Mineração de opiniões baseada em aspectos para revisões de produtos e serviços ; Aspect-based Opinion Mining for Reviews of Products and Services
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Yugoshi, Ivone Penque Matsuno. - : Biblioteca Digital de Teses e Dissertações da USP, 2018. : Universidade de São Paulo, 2018. : Instituto de Ciências Matemáticas e de Computação, 2018
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Data properties and the performance of sentiment classification for electronic commerce applications
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FEEL: a French Expanded Emotion Lexicon
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01348016 ; Language Resources and Evaluation, Springer Verlag, 2017, 51 (3), pp.833-855. ⟨10.1007/s10579-016-9364-5⟩ (2017)
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Semi-automatic acquisition of opinion mining resources ; Construction semi-automatique de ressources pour la fouille d'opinion
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In: https://tel.archives-ouvertes.fr/tel-01630619 ; Traitement du texte et du document. Université de Nantes, Faculté des sciences et des techniques., 2017. Français (2017)
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Deep Learning Model for Sentiment Analysis in Multi-lingual Corpus.
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In: International Conference on Neural Information ProcessingICONIP 2017: Neural Information Processing ; Neural Information Processing. ICONIP 2017 ; https://hal.archives-ouvertes.fr/hal-01744518 ; Neural Information Processing. ICONIP 2017, Nov 2017, Guangzhou, China. pp.205-212 (2017)
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Tecnologías de la lengua para análisis de opiniones en redes sociales ; Language technologies for opinion analysis in social networks
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REDES: Reconocimiento de Entidades Digitales: Enriquecimiento y Seguimiento mediante Tecnologías del Lenguaje ; REDES: Digital Entities Recognition: Enrichment and Tracking by Language Technologies
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Aspect extraction in sentiment analysis for portuguese language ; Extração de aspectos em análise de sentimentos para língua portuguesa
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Balage Filho, Pedro Paulo. - : Biblioteca Digital de Teses e Dissertações da USP, 2017. : Universidade de São Paulo, 2017. : Instituto de Ciências Matemáticas e de Computação, 2017
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Abstract:
Aspect-based sentiment analysis is the field of study which extracts and interpret the sentiment, usually classified as positive or negative, towards some target or aspect in an opinionated text. This doctoral dissertation details an empirical study of techniques and methods for aspect extraction in aspect-based sentiment analysis with the focus on Portuguese. Three different approaches were explored: frequency-based, relation-based and machine learning. In each one, this work shows a comparative study between a Portuguese and an English corpora and the differences found in applying the approaches. In addition, richer linguistic knowledge is also explored by using syntatic dependencies and semantic roles, leading to better results. This work lead to the establishment of new benchmarks for the aspect extraction in Portuguese. ; A análise do sentimento orientada a aspectos é o campo de estudo que extrai e interpreta o sentimento, geralmente classificado como positivo ou negativo, em direção a algum alvo ou aspecto em um texto de opinião. Esta tese de doutorado detalha um estudo empírico de técnicas e métodos para extração de aspectos em análises de sentimentos baseadas em aspectos com foco na língua Portuguesa. Foram exploradas três diferentes abordagens: métodos baseados na frequências, métodos baseados na relação e métodos de aprendizagem de máquina. Em cada abordagem, este trabalho mostra um estudo comparativo entre um córpus para o Português e outro para o Inglês e as diferenças encontradas na aplicação destas abordagens. Além disso, o conhecimento linguístico mais rico também é explorado pelo uso de dependências sintáticas e papéis semânticos, levando a melhores resultados. Este trabalho resultou no estabelecimento de novos padrões de avaliação para a extração de aspectos em Português.
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Keyword:
Análise de Sentimentos; Análise de sentimentos orientada a aspectos; Aspect-based sentiment analysis; Mineração de Opiniões; Opinion mining; Sentiment analysis
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URL: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-05122017-140435/ https://doi.org/10.11606/T.55.2017.tde-05122017-140435
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Tratamiento sintáctico de la negación en análisis del sentimiento monolingüe y multilingüe
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