Results 11 to 20 of about 814,629 (342)
Lifelong Learning CRF for Supervised Aspect Extraction [PDF]
, 2017 This paper makes a focused contribution to supervised aspect extraction. It shows that if the system has performed aspect extraction from many past domains and retained their results as knowledge, Conditional Random Fields (CRF) can leverage this ...
Liu, Bing, Shu, Lei, Xu, Hu
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A Multi-Task Dual-Encoder Framework for Aspect Sentiment Triplet Extraction [PDF]
IEEE Access, 2022 Aspect Sentiment Triplet Extraction (ASTE) is a complex and important task in aspect-based sentiment analysis task, which aims to extract aspect-sentiment-opinion triplets from review sentences, to acquire comprehensive information for sentiment analysis.
Hai Huan +3 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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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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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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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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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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Extracting Customer Reviews from Online Shopping and Its Perspective on Product Design [PDF]
Vietnam Journal of Computer Science, 2019 This paper presents a study on how we can extract helpful review from customers and its effect on the early phase when designing a product. We present a framework for analyzing the reviews from online shopping sites by detecting helpful reviews, aspects,
Kieu Que Anh +2 more
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