Results 21 to 30 of about 832,569 (293)
IEEE Access, 2022 Recently, much research has focused on explicit aspect extraction. User reviews in the textual form are unstructured data, creating a very high complexity when processed for sentiment analysis. Previous propagation approaches proposed in this area mainly
Warih Maharani +2 more
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Journal of ICT Research and Applications, 2020 The use of dependency rules for aspect extraction tasks in aspect-based sentiment analysis is a promising approach. One problem with this approach is incomplete rules. This paper presents an aspect extraction rule learning method that combines dependency
Fariska Zakhralativa Ruskanda +2 more
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Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 Social Media has revolutionized how individuals, groups, and communities interact. This immense quantity of unstructured data holds valuable information expressed in informal language.
Julia da Rocha Junqueira +6 more
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A Joint Model for Extracting Latent Aspects and Their Ratings From Online Employee Reviews
Frontiers in Physics, 2022 The personal description of a company associated with job satisfaction, company culture, and opinions of senior leadership is available on workplace community websites.
Zhuo-Ming Ren +3 more
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On Deriving Nested Calculi for Intuitionistic Logics from Semantic Systems [PDF]
, 2020 This paper shows how to derive nested calculi from labelled calculi for propositional intuitionistic logic and first-order intuitionistic logic with constant domains, thus connecting the general results for labelled calculi with the more refined ...
A Ciabattoni +17 more
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LISA: Language-Independent Method for Aspect-Based Sentiment Analysis
IEEE Access, 2020 Understanding “what others think” is one of the most eminent pieces of knowledge in the decision-making process required in a wide spectrum of applications. The procedure of obtaining knowledge from each aspect (property) of users' opinions
Mohammadreza Shams +2 more
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Weakly Supervised Learning Approach for Implicit Aspect Extraction
Information, 2023 Aspect-based sentiment analysis (ABSA) is a process to extract an aspect of a product from a customer review and identify its polarity. Most previous studies of ABSA focused on explicit aspects, but implicit aspects have not yet been the subject of much ...
Aye Aye Mar +2 more
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The use of a non-absorbable membrane as an occlusive barrier for alveolar ridge preservation: A one year follow-up prospective cohort study [PDF]
, 2020 The aims of this study were to obtain preliminary data and test the clinical efficacy of a novel nonporous dense-polytetrafluoroethylene (d-PTFE) membrane (permamem®, botiss) in alveolar ridge preservation (ARP) procedures with a flapless approach.
D'addona, A. +5 more
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Exploring BERT for Aspect Extraction in Portuguese Language
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Sentiment Analysis is the computer science field that comprises techniques that aim to automatically extract opinions from texts. Usually, these techniques assign a Sentiment Orientation to the whole document (Document Level Sentiment Analysis).
Émerson Lopes +2 more
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IEEE Access, 2023 Sentiment analysis is an active research domain of the current era, thanks to its vast applications. The main objective is to classify the polarity of the given text as negative, positive, or neutral.
Waqas Ahmad +3 more
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