Results 11 to 20 of about 329,895 (279)
Exploring BERT for Aspect-based Sentiment Analysis in Portuguese Language
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Aspect-Based Sentiment Analysis (ABSA) is a Natural Language Processing (NLP) task that extracts referred aspects from text and assigns polarities to opinions about those aspects. Most research on ABSA focuses on English.
Émerson Philippe Lopes +5 more
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Aspect Based Sentiment Analysis into the Wild [PDF]
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2018 In this paper, we test state-of-the-art Aspect Based Sentiment Analysis (ABSA) systems trained on a widely used dataset on actual data. We created a new manually annotated dataset of user generated data from the same domain as the training dataset, but from other sources and analyse the differences between the new and the standard ABSA dataset. We then
Caroline Brun, Vassilina Nikoulina
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Aspect Based Sentiment Analysis
International Journal of Scientific Research in Science and Technology, 2022 Sentiment analysis, which addresses the computational treatment of opinion, sentiment, and subjectivity in text, has received considerable attention in recent years. In contrast to the traditional coarse-grained sentiment analysis tasks, such as document-level sentiment classification, we are interested in the fine-grained aspect-based sentiment ...
null Prachi Chavan, null Sneha Bohra
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ALBERTC-CNN Based Aspect Level Sentiment Analysis
IEEE Access, 2021 In order to solve the problem that most aspect level sentiment analysis networks cannot extract the global and local information of the context at the same time.
Xingxin Ye, Yang Xu, Mengshi Luo
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Human-Centric Intelligent Systems, 2023 This research paper presents a novel approach for recommending products to customers based on their cared aspects by performing sentiment analysis on customer feedback.
Nimesh Bali Yadav
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Arabic Aspect-Based Sentiment Classification Using Seq2Seq Dialect Normalization and Transformers
Knowledge, 2022 Sentiment analysis is one of the most important fields of natural language processing due to its wide range of applications and the benefits associated with using it.
Mohammed ElAmine Chennafi +3 more
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NOVEL MULTI-LEVEL ASPECT BASED SENTIMENT ANALYSIS FOR IMPROVED ROOT-CAUSE ANALYSIS
ICTACT Journal on Soft Computing, 2021 Aspect extraction and sentiment identification are the two important tasks to provide effective root cause analysis. This work presents a Multi-Level Aspect based Sentiment Analysis (MLASA) model that integrates the aspect extraction and sentiment ...
Naveenkumar Seerangan +1 more
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A Multi-Task Dual-Encoder Framework for Aspect Sentiment Triplet Extraction
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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Aspect-Based Sentiment Analysis
International Journal For Multidisciplinary Research, 2023 Aspect-Based Sentiment Analysis (ABSA) is an advanced NLP application that aims to identify aspect terms present in the given review and predict the sentiment associated with those aspect terms. ABSA is better than sentence-based sentiment classification because it considers the aspect terms present in the reviews to determine the sentiment rather than
A. Punitha - +4 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
doaj +1 more source