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Transformer-Based Abstractive Summarization for Reddit and Twitter: Single Posts vs. Comment Pools in Three Languages
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In: Future Internet; Volume 14; Issue 3; Pages: 69 (2022)
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Study of the Yahoo-Yahoo Hash-Tag Tweets Using Sentiment Analysis and Opinion Mining Algorithms
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In: Information; Volume 13; Issue 3; Pages: 152 (2022)
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Deceptive Opinions Detection Using New Proposed Arabic Semantic Features
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In: ISSN: 1877-0509 ; EISSN: 1877-0509 ; Procedia Computer Science ; https://hal.archives-ouvertes.fr/hal-03299022 ; Procedia Computer Science, Elsevier, 2021, 189, pp.29 - 36. ⟨10.1016/j.procs.2021.05.067⟩ (2021)
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Sentiment Analysis of Arabic Documents
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In: Natural Language Processing for Global and Local Business ; https://hal.archives-ouvertes.fr/hal-03124729 ; Fatih Pinarbasi; M. Nurdan Taskiran. Natural Language Processing for Global and Local Business, pp.307-331, 2021, 9781799842408. ⟨10.4018/978-1-7998-4240-8.ch013⟩ ; https://www.igi-global.com/ (2021)
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The Role of Inferences in Opinion Mining : Applications to Chinese Social Media ; Le rôle des inférences pour la fouille d'opinion : applications aux réseaux sociaux en langue chinoise
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In: https://tel.archives-ouvertes.fr/tel-03469568 ; Linguistique. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2021. Français. ⟨NNT : 2021INAL0016⟩ (2021)
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On Multi-domain Sentence Level Sentiment Analysis for Roman Urdu ...
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The Role of Inferences in Opinion Mining : Applications to Chinese Social Media ; Le rôle des inférences pour la fouille d'opinion : applications aux réseaux sociaux en langue chinoise
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In: https://tel.archives-ouvertes.fr/tel-03469568 ; Linguistique. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2021. Français. ⟨NNT : 2021INAL0016⟩ (2021)
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A Survey on Sentiment Analysis and Opinion Mining in Greek Social Media
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In: Information ; Volume 12 ; Issue 8 (2021)
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Sentiment-Target Word Pair Extraction Model Using Statistical Analysis of Sentence Structures
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In: Electronics; Volume 10; Issue 24; Pages: 3187 (2021)
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Analyzing Tweets to Rank FIFA Players using Named Entity Recognition ...
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Analyzing Tweets to Rank FIFA Players using Named Entity Recognition ...
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On Multi-domain Sentence Level Sentiment Analysis for Roman Urdu
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This! Identifying new sentiment slang through orthographic pleonasm online: Yasss slay gorg queen ilysm
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In: 36 ; 4 ; 114 ; 120 (2021)
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Inference Annotation of a Chinese Corpus for Opinion Mining
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In: LREC ; https://hal-inalco.archives-ouvertes.fr/hal-02507170 ; LREC, May 2020, Marseille, France (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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Abstract:
International audience ; This paper proposes a classification model for opinion mining around airport noise based on techniques such as event detection and sentiment analysis applied on Twitter posts. Tweets are retrieved using the Twitter API either because of location or content.A dataset of preprocessed, with NLP techniques, tweets is manually annotated and then used to train an SVM (Support Vector Machine) classifier in order to extract the relevant ones from the obtained collections. The extracted tweets from the SVM classifier are fed to a lexicon-based classifier to filter out the false relevant and to increase precision. A lexicon-based sentiment classifier is then applied in order to separate positive, negative and neutral tweets. The sentiment classifier uses emoticons, polarity of words with subjective intensity, intensifiers, negation effect with dynamic scope, contrast effect and SWN to detect the sentiment of tweets in a hierarchical manner. The information present in the classified tweets is used for a statistical survey-like study.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Machine Learning; Natural Language Processing; Opinion mining; Sentiment analysis; Text mining; Twitter
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URL: https://hal.archives-ouvertes.fr/hal-03018998/file/Meddeb_et_all-AirportNoise.pdf https://hal.archives-ouvertes.fr/hal-03018998 https://hal.archives-ouvertes.fr/hal-03018998/document https://doi.org/10.1007/978-3-030-44900-1_10
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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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Inference Annotation of a Chinese Corpus for Opinion Mining
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In: LREC ; https://hal-inalco.archives-ouvertes.fr/hal-02507170 ; LREC, May 2020, Marseille, France (2020)
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Improving Sentiment Polarity Detection through Target Identification
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