Results 311 to 320 of about 446,831 (348)

Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review

Expert systems with applications, 2019
The increasing volume of user-generated content on the web has made sentiment analysis an important tool for the extraction of information about the human emotional state.
H. H. Do, P. Prasad, Angelika Maag, A. Alsadoon   +3 more
semanticscholar   +1 more source

Aspect-based sentiment analysis using adaptive aspect-based lexicons

Expert Systems with Applications, 2020
Abstract Reviews expressed in e-commerce websites have formed an important source of information for both consumers and enterprises. Text sentiment analysis approaches aim to detect the sentiments of written reviews in order to achieve a better understanding of public opinion towards entities.
Mohammad Erfan Mowlaei, Mohammad Saniee Abadeh, Hamidreza Keshavarz   +2 more
openaire   +1 more source

Ontology-Enhanced Aspect-Based Sentiment Analysis

2017
With many people freely expressing their opinions and feelings on the Web, much research has gone into modeling and monetizing opinionated, and usually unstructured and textual, Web-based content. Aspect-based sentiment analysis aims to extract the fine-grained topics, or aspects, that people are talking about, together with the sentiment expressed on ...
Kim Schouten, Flavius Frasincar, Franciska de Jong   +2 more
openaire   +2 more sources

Aspect Based Sentiment Analysis for Online Reviews

2017
Learning good semantic vector representations for sentiment analysis in phrases, sentences and paragraphs is a challenging and ongoing area of natural language processing. In this paper, we propose a Convolution Neural Network for aspect level sentiment classification.
Lamei Xu, Jin Liu 0009, Lina Wang, Chunyong Yin   +3 more
openaire   +1 more source

Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis

Conference on Empirical Methods in Natural Language Processing
Aspect-based sentiment analysis (ABSA) is an important subtask of sentiment analysis, which aims to extract the aspects and predict their sentiments.
Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Chengcai Chen, Liang He   +6 more
semanticscholar   +1 more source

Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis

IEEE Transactions on Affective Computing
Multimodal aspect-based sentiment analysis (MABSA) aims to determine the sentiment polarity of each aspect mentioned in the text based on multimodal content. Various approaches have been proposed to model multimodal sentiment features for each aspect via
Qianlong Wang, Hongling Xu, Zhiyuan Wen, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu   +6 more
semanticscholar   +1 more source

Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis

Annual Meeting of the Association for Computational Linguistics
Aspect-based sentiment analysis (ABSA) identifies sentiment information related to specific aspects and provides deeper market insights to businesses and organizations. With the emergence of large language models (LMs), recent studies have proposed using
Guangmin Zheng, Jin Wang, Liang-Chih Yu, Xuejie Zhang   +3 more
semanticscholar   +1 more source

A Survey on Aspect-Based Sentiment Classification

ACM Computing Surveys, 2023
Gianni Brauwers, Flavius Frasincar
exaly  

A Review of Datasets for Aspect-based Sentiment Analysis

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka, Thamar Solorio   +3 more
openaire   +1 more source

Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks

Knowledge-Based Systems, 2022
Bin Liang, Hang Su, Lin Gui
exaly