Results 11 to 20 of about 24,177,706 (292)

A Survey on Aspect-Based Sentiment Classification [PDF]

ACM Computing Surveys, 2022
With the constantly growing number of reviews and other sentiment-bearing texts on the Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect-based sentiment classification (ABSC) allows for the automatic extraction of highly fine-grained sentiment information from text documents or sentences.
Gianni Brauwers, Flavius Frasincar
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Explaining a neural attention model for aspect-based sentiment classification using diagnostic classification [PDF]

Proceedings of the 36th Annual ACM Symposium on Applied Computing, 2021
The 36th ACM/SIGAPP Symposium On Applied Computing, Virtual Conference, March 22-March 26 ...
Meijer, L, Frasincar, Flavius, Trusca, Maria Mihaela   +2 more
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Aspect-based Sentiment Classification for Word Information Enhancement Based on Sentence Information [PDF]

Jisuanji kexue
Aspect-based sentiment classification is a fine-grained sentiment classification task that aims to determine the sentiment polarity of specified aspect terms in a sentence.In recent years,syntactic knowledge has been widely applied in the field of aspect-
LI Yilin, SUN Chengsheng, LUO Lin, JU Shenggen
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Contextual Graph Attention Network for Aspect-Level Sentiment Classification

Mathematics, 2022
Aspect-level sentiment classification aims to predict the sentiment polarities towards the target aspects given in sentences. To address the issues of insufficient semantic information extraction and high computational complexity of attention mechanisms ...
Yuqing Miao, Ronghai Luo, Lin Zhu, Tonglai Liu, Wanzhen Zhang, Guoyong Cai, Ming Zhou   +6 more
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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
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Aspect-Oriented Opinion Alignment Network for Aspect-Based Sentiment Classification [PDF]

, 2023
Aspect-based sentiment classification is a crucial problem in fine-grained sentiment analysis, which aims to predict the sentiment polarity of the given aspect according to its context. Previous works have made remarkable progress in leveraging attention mechanism to extract opinion words for different aspects.
Xueyi Liu, Rui Hou 0005, Yanglei Gan, Da Luo, Changlin Li, Xiaojun Shi, Qiao Liu 0003   +6 more
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Knowledge Injection for Aspect-Based Sentiment Classification

, 2023
Since the increase of Web reviews of products and services, Aspect-Based Sentiment Classification (ABSC) has become more important to determine the sentiment of online opinions. Useful information extracted from these reviews can then be used by companies themselves, but can also be applicable by consumers.
Romany Dekker, Danae Gielisse, Chaya Jaggan, Sander Meijers, Flavius Frasincar   +4 more
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Triplet Contrastive Learning for Aspect Level Sentiment Classification

Mathematics, 2022
The domain of Aspect Level Sentiment Classification, in which the sentiment toward a given aspect is analyzed, attracts much attention in NLP. Recently, the state-of-the-art Aspect Level Sentiment Classification methods are devised by using the Graph ...
Haoliang Xiong, Zehao Yan, Hongya Zhao, Zhenhua Huang, Yun Xue   +4 more
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XRCE: Hybrid Classification for Aspect-based Sentiment Analysis [PDF]

Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014
In this paper, we present the system we have developed for the SemEval-2014 Task 4 dedicated to Aspect-Based Sentiment Analysis. The system is based on a robust parser that provides information to feed different classifiers with linguistic features dedicated to aspect categories and aspect categories polarity classification.
Caroline Brun, Diana Nicoleta Popa, Claude Roux   +2 more
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Sentiment analysis: text, pre-processing, reader views and cross domains [PDF]

, 2015
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonSentiment analysis has emerged as a field that has attracted a significant amount of attention since it has a wide variety of applications that ...
Haddi, Emma
core   +7 more sources