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Explainable sentiment analysis application for social media crisis management in retail
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In: Cirqueira, Douglas orcid:0000-0002-1283-0453 , Almeida, Fernando, Cakir, Gültekin orcid:0000-0001-9715-7167 , Jacob, Antonio orcid:0000-0002-9415-7265 , Lobato, Fabio orcid:0000-0002-6282-0368 , Bezbradica, Marija orcid:0000-0001-9366-5113 and Helfert, Markus orcid:0000-0001-6546-6408 (2020) Explainable sentiment analysis application for social media crisis management in retail. In: 4th International Conference on Computer-Human Interaction Research and Applications - Volume 1: WUDESHI-DR, 5-6 Nov 2020, Budapest, Hungry (Online). ISBN 978-989-758-480-0 (2020)
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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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An Algerian Corpus and an Annotation Platform for Opinion and Emotion Analysis
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In: Proceedings of the 12th Language Resources and Evaluation Conference ; 12th Language Resources and Evaluation Conference, LREC 2020 ; https://hal.archives-ouvertes.fr/hal-03102495 ; 12th Language Resources and Evaluation Conference, LREC 2020, May 2020, Marseille, France. pp.1202-1210 ; https://www.aclweb.org/anthology/2020.lrec-1.151/ (2020)
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Abstract:
International audience ; In this paper, we address the lack of resources for opinion and emotion analysis related to North African dialects, targeting Algerian dialect. We present TWIFIL (TWItter proFILing) a collaborative annotation platform for crowdsourcing annotation of tweets at different levels of granularity. The plateform allowed the creation of the largest Algerian dialect dataset annotated for both sentiment (9,000 tweets), emotion (about 5,000 tweets) and extra-linguistic information including author profiling (age and gender). The annotation resulted also in the creation of the largest Algerien dialect subjectivity lexicon of about 9,000 entries which can constitute a valuable resources for the development of future NLP applications for Algerian dialect. To test the validity of the dataset, a set of deep learning experiments were conducted to classify a given tweet as positive, negative or neutral. We discuss our results and provide an error analysis to better identify classification errors.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Algerian dialect; Crowdsourcing annotation platform; emotion detection; sentiment analysis; subjectivity lexicon
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URL: https://hal.archives-ouvertes.fr/hal-03102495/document https://hal.archives-ouvertes.fr/hal-03102495 https://hal.archives-ouvertes.fr/hal-03102495/file/An%20Algerian%20Corpus%20and%20an%20Annotation%20Platform%20for%20Opinion%20and%20Emotion%20Analysis.pdf
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Affective behavior modeling on social networks ; Modélisation des sentiments sur les réseaux sociaux
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In: https://tel.archives-ouvertes.fr/tel-03339755 ; Social and Information Networks [cs.SI]. Université Montpellier, 2020. English. ⟨NNT : 2020MONTS073⟩ (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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Clickbait detection using multimodel fusion and transfer learning ; Détection de clickbait utilisant fusion multimodale et apprentissage par transfert
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In: https://tel.archives-ouvertes.fr/tel-03139880 ; Social and Information Networks [cs.SI]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAS025⟩ (2020)
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Neural approach for Arabic sentiment analysis ; Une approche neuronale pour l’analyse d’opinions en arabe
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In: https://tel.archives-ouvertes.fr/tel-03084468 ; Informatique et langage [cs.CL]. Université du Maine; Université de Sfax (Tunisie), 2020. Français. ⟨NNT : 2020LEMA1022⟩ (2020)
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ПРИМЕНЕНИЕ ТЕХНОЛОГИИ WORD2VEC В ЗАДАЧЕ ВЫДЕЛЕНИЯ ИНВЕРТОРОВ ТОНАЛЬНОСТИ ... : APPLYING WORD2VEC TECHNOLOGY TO SHIFTER EXTRACTION TASK ...
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BanglaEmotion: A Benchmark Dataset for Bangla Textual Emotion Analysis ...
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BanglaEmotion: A Benchmark Dataset for Bangla Textual Emotion Analysis ...
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Hotel Review Sentiment Analysis using Natural Language Processing ...
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Czech image captioning, machine translation, sentiment analysis and summarization (Neural Monkey models)
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A sentiment analysis dataset for code-mixed Malayalam-English
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How Combining Terrorism, Muslim, and Refugee Topics Drives Emotional Tone in Online News: A Six-Country Cross-Cultural Sentiment Analysis
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In: International Journal of Communication; Vol 14 (2020); 26 ; 1932-8036 (2020)
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A Sentiment Analysis Dataset for Code-Mixed Malayalam-English ...
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Evaluation of literature by professional and layperson critics. A digital and literary sociological analysis of evaluative talk of literature through the prism of literary prizes (2007-2017) ...
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A Sentiment Analysis Dataset for Code-Mixed Malayalam-English ...
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Evaluation of literature by professional and layperson critics. A digital and literary sociological analysis of evaluative talk of literature through the prism of literary prizes (2007-2017) ...
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Distant Spectators: Distant Reading for periodicals of the Enlightenment ...
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Distant Spectators: Distant Reading for periodicals of the Enlightenment ...
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