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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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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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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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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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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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Tratamiento sintáctico de la negación en análisis del sentimiento monolingüe y multilingüe
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A semi-automatic method for constructing MUSE sentiment-annotated corpora ; Une méthode semi-automatique de construction des corpus MUSE annotés en sentiments
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In: ICAL ; https://hal.archives-ouvertes.fr/hal-01526827 ; ICAL, Nguyen Tat Thanh University, Dec 2016, Ho Chi Minh City, Vietnam. pp.17-18 ; http://ical.amu.edu.pl/ (2016)
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Ανάλυση ελληνικής κοινής γνώμης στο Twitter βασισμένη σε λεξικό ...
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Minería de Opiniones basado en la adaptación al español de ANEW sobre opiniones acerca de hoteles ; Opinion Mining based on the Spanish adaptation of ANEW on hotel customer comments
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Improving sentiment analysis through ensemble learning of meta-level features
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Análise de sentimentos baseada em aspectos e atribuições de polaridade ; Aspect-based sentiment analysis and polarity assignment
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Pattern-based automatic induction of domain adapted resources for social media analysis
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In: TDX (Tesis Doctorals en Xarxa) (2016)
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Opinion mining on experience feedback: A case study on smarphones reviews
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In: RCIS 2015 : IEEE 9th International Conference on Research Challenges in Information Science ; https://hal.archives-ouvertes.fr/hal-01174237 ; RCIS 2015 : IEEE 9th International Conference on Research Challenges in Information Science, May 2015, Athens, Greece. pp.211 - 216, ⟨10.1109/RCIS.2015.7128879⟩ (2015)
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