Results 301 to 310 of about 446,831 (348)

Aspect-Based Sentiment Analysis for User Reviews

Cognitive Computation, 2021
Aspect-based sentiment analysis (ABSA) can help consumers provide clear and objective sentiment recommendations through massive quantities of data and is conducive to overcoming ambiguous human weaknesses in subjective judgments. However, the robustness and accuracy of existing sentiment analysis methods must still be improved.
Zhang, Yin, Du, Jinyang, Ma, Xiao, Wen, Haoyu, Fortino, Giancarlo   +4 more
openaire   +1 more source

Hybrid sentiment classification on twitter aspect-based sentiment analysis

Applied Intelligence, 2017
Social media sites and applications, including Facebook, YouTube, Twitter and blogs, have become major social media attractions today. The huge amount of information from this medium has become an attractive resource for organisations to monitor the opinions of users, and therefore, it is receiving a lot of attention in the field of sentiment analysis.
Zainuddin, Nurulhuda, Selamat, Ali, Ibrahim, Roliana   +2 more
openaire   +2 more sources

Aspect-based sentiment analysis of mobile reviews

Journal of Intelligent & Fuzzy Systems, 2019
E-commerce websites provide an easy platform for users to put forth their viewpoints on different topics-ranging from a news item to any product in the market. Such online content encourages authors to express opinions on various aspects of an entity.
Vedika Gupta, Vivek Kumar Singh 0001, Pankaj Mukhija, Udayan Ghose   +3 more
openaire   +1 more source

Data augmentation for aspect-based sentiment analysis

International Journal of Machine Learning and Cybernetics, 2022
In recent years, deep learning has been widely used in the field of natural language processing (NLP), achieving spectacular successes in various NLP tasks. These successes are largely due to its capability to automatically learn feature representations from text data.
Guangmin Li, Hui Wang 0001, Yi Ding, Kangan Zhou, Xiaowei Yan   +4 more
openaire   +2 more sources

M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis

Conference on Empirical Methods in Natural Language Processing
Aspect-based sentiment analysis (ABSA) is a crucial task in information extraction and sentiment analysis, aiming to identify aspects with associated sentiment elements in text.
Chengyan Wu, Bolei Ma, Yihong Liu, Zheyu Zhang, Ningyuan Deng, Yanshu Li, Baolan Chen, Yi Zhang, Barbara Plank, Yun Xue   +9 more
semanticscholar   +1 more source

Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis

IEEE Transactions on Affective Computing
Multimodal aspect-based sentiment classification (MASC) is an emerging task due to an increase in user-generated multimodal content on social platforms, aimed at predicting sentiment polarity toward specific aspect targets (i.e., entities or attributes ...
Luwei Xiao, Rui Mao, Shuai Zhao, Qika Lin, Yanhao Jia, Liang He, Erik Cambria   +6 more
semanticscholar   +1 more source

Sentence Compression for Aspect-Based Sentiment Analysis

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2015
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 ...
Wanxiang Che, Yanyan Zhao, Honglei Guo, Zhong Su, Ting Liu 0001   +4 more
openaire   +1 more source

Aspect based sentiment analysis in music

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 2022
Nowadays, there are more and more social networks and Web platforms that give their users the opportunity to share their opinions and tastes on items of different types. This inevitably led to a growth of data relating to the subjective sphere of each individual.
Biancofiore G. M., Di Noia T., Di Sciascio E., Narducci F., Pastore P.   +4 more
openaire   +1 more source

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

Knowledge-Based Systems, 2021
Aspect-based sentiment analysis is a fine-grained sentiment analysis task, which needs to detection the sentiment polarity towards a given aspect. Recently, graph neural models over the dependency tree are widely applied for aspect-based sentiment ...
Bin Liang, Hang Su, Lin Gui, E. Cambria, Ruifeng Xua   +4 more
semanticscholar   +1 more source

A corpus for aspect-based sentiment analysis in Vietnamese

2019 11th International Conference on Knowledge and Systems Engineering (KSE), 2019
Recently, researchers have shown an increased interest in the aspect-based sentiment analysis problem. The goal is to extract valuable information concerning the aspects mentioned in users comments. This problem can be divided into three sub-tasks: term extraction, aspect detection, and polarity detection.
Minh-Hao Nguyen, Tri Minh Nguyen 0004, Dang Van Thin, Ngan Luu-Thuy Nguyen   +3 more
openaire   +1 more source