Results 31 to 40 of about 6,473,940 (330)
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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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
semanticscholar +1 more source
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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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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Informatics, 2018 Online reviews are an important source of opinion to measure products’ quality. Hence, automated opinion mining is used to extract important features (aspect) and related comments (sentiment).
Noor Rizvana Ahamed Kabeer +2 more
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Joint Aspect Extraction and Sentiment Analysis with Directional Graph Convolutional Networks
International Conference on Computational Linguistics, 2020 End-to-end aspect-based sentiment analysis (EASA) consists of two sub-tasks: the first extracts the aspect terms in a sentence and the second predicts the sentiment polarities for such terms.
Guimin Chen, Yuanhe Tian, Yan Song
semanticscholar +1 more source
Opinion Triplet Extraction for Aspect-Based Sentiment Analysis Using Co-Extraction Approach
Journal of ICT, 2022 In aspect-based sentiment analysis, tasks are diverse and consist of aspect term extraction, aspect categorization, opinion term extraction, sentiment polarity classification, and relation extractions of aspect and opinion terms.
Rifo Ahmad Genadi +1 more
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Aspect Extraction from Bangla Reviews Through Stacked Auto-Encoders
Data, 2019 Interactions between online users are growing more and more in recent years, due to the latest developments of the web. People share online comments, opinions, and reviews about many topics. Aspect extraction is the automatic process of understanding the
Matteo Bodini
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Span-Level Dual-Encoder Model for Aspect Sentiment Triplet Extraction [PDF]
Jisuanji kexue yu tansuo, 2023 Aspect sentiment triplet extraction (ASTE) is one of the subtasks of aspect-based sentiment analysis, which aims to identify all aspect terms, their corresponding opinion terms and sentiment polarities in sentences.
ZHANG Yunqi, LI Songda, LAN Yuquan, LI Dongxu, ZHAO Hui
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Implicit Aspect Extraction from Online Clothing Reviews with Fine-tuning BERT Algorithm
Journal of Physics: Conference Series, 2021 In the era of e-commerce, tremendous product reviews can provide quick and valuable insight into the market trends. Aspect-based sentiment analysis (ABSA) on product reviews is becoming increasingly important for both companies and consumers.
Li Yu, Xuefei Bai
semanticscholar +1 more source