Results 21 to 30 of about 5,942,306 (303)
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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An Ontology-Based Approach to Enhance Explicit Aspect Extraction in Standard Arabic Reviews
International Journal of Computing and Digital Systems, 2022 : Currently, one of the most important and di ffi cult areas of research is Arabic Sentiment analysis. Aspect extraction is the most important task in aspect-based sentiment analysis.
S. Behdenna, Ghalem Belalem, F. Barigou
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Comparison of Topic Modelling Approaches in the Banking Context
Applied Sciences, 2023 Topic modelling is a prominent task for automatic topic extraction in many applications such as sentiment analysis and recommendation systems. The approach is vital for service industries to monitor their customer discussions.
Bayode Ogunleye +4 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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A More Fine-Grained Aspect–Sentiment–Opinion Triplet Extraction Task
Mathematics, 2023 Sentiment analysis aims to systematically study affective states and subjective information in digital text through computational methods. Aspect Sentiment Triplet Extraction (ASTE), a subtask of sentiment analysis, aims to extract aspect term, sentiment
Yuncong Li, Fang Wang, Sheng-hua Zhong
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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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Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction [PDF]
Annual Meeting of the Association for Computational Linguistics, 2018 One key task of fine-grained sentiment analysis of product reviews is to extract product aspects or features that users have expressed opinions on. This paper focuses on supervised aspect extraction using deep learning.
Hu Xu, B. Liu, Lei Shu, Philip S. Yu
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Embarrassingly Simple Unsupervised Aspect Extraction [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 We present a simple but effective method for aspect identification in sentiment analysis. Our unsupervised method only requires word embeddings and a POS tagger, and is therefore straightforward to apply to new domains and languages.
Stéphan Tulkens +1 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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Explicit aspect extraction techniques: Review
Journal of Al-Qadisiyah for Computer Science and Mathematics, 2022 Sentiment analysis is gathering opinion keywords, such as aspects, opinions, or features- and figuring out their semantic perspective relations. More specifically, aspect-based sentiment analysis – (ABSA) is a subfield of natural language that focuses on
Arwa Akram, A. Sabir
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