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VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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A Corpus-Based Sentence Classifier for Entity–Relationship Modelling
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In: Electronics; Volume 11; Issue 6; Pages: 889 (2022)
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Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3503 (2022)
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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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Using Conceptual Recurrence and Consistency Metrics for Topic Segmentation in Debate
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In: Applied Sciences; Volume 12; Issue 6; Pages: 2952 (2022)
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Capability Language Processing (CLP): Classification and Ranking of Manufacturing Suppliers Based on Unstructured Capability Data
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StaResGRU-CNN with CMedLMs: a stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence
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Machine Learning approaches for Topic and Sentiment Analysis in multilingual opinions and low-resource languages: From English to Guarani
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Dynamics of prescriptivism and lexical borrowings in Contemporary French
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CorpusExplorer ; Eine Software zur korpuspragmatischen Analyse
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| 15 |
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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An Approach Utilizing Linguistic Features for Fake News Detection
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In: IFIP Advances in Information and Communication Technology ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI) ; https://hal.inria.fr/hal-03287679 ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.646-658, ⟨10.1007/978-3-030-79150-6_51⟩ (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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The Machine in the Garden of Meter and Rythm
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In: Plotting Poetry. On Mechanically-Enhanced Reading ; https://hal.telecom-paris.fr/hal-03255491 ; Bories, Anne-Sophie ; Purnelle, Gérald ; Marchal, Hugues. Plotting Poetry. On Mechanically-Enhanced Reading, Presses universitaires de Liège, 2021, 978-2-87562-280-8 (2021)
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On Multi-domain Sentence Level Sentiment Analysis for Roman Urdu ...
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Abstract:
Sentiment analysis, or opinion mining, is a computational process to determine the polarity of a topic, opinion, emotion, or attitude. Most of the work done on sentiment analysis is for resource-rich languages, such as English and Chinese. However, only limited work has been done for Roman Urdu/Hindi, which is hence a resource-poor language. Developing a robust Sentiment analysis system for Roman Urdu/Hindi is necessitated due to two major reasons. First, Urdu/Hindi is the third largest spoken language in the world, with over 500 million speakers. Second, it is becoming increasingly used because people prefer to communicate on the web using Latin Script (26 English Alphabets), instead of typing using their language-specific keyboards. Since the work on Roman Urdu/Hindi sentiment analysis is still in its infancy stage, therefore an urgent development of new techniques and improvements in existing techniques is required. In particular, the development of an automated technique to address the problem of Roman ...
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Keyword:
Artificial Intelligence; Machine Learning; Natural Language Processing; Natural languages; Opinion mining; Pattern recognition; Resource poor language; Roman Urdu; Roman Urdu sentiment analysis; Urdu
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URL: https://dx.doi.org/10.26190/unsworks/22403
http://hdl.handle.net/1959.4/70709
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