Results 231 to 240 of about 17,106 (265)

Sentiment Classification Using Neural Networks with Sentiment Centroids

2018
Neural networks (NN) have demonstrated powerful ability to extract text features automatically for sentiment classification in recent years. Although semantic and syntactic features are well studied, global category information has been mostly ignored within the NN based framework. Samples with the same sentiment category should have similar vectors in
Maoquan Wang, Shiyun Chen, Liang He 0001
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Semantic Simplification for Sentiment Classification

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Xiaotong Jiang, Zhongqing Wang, Guodong Zhou   +2 more
openaire   +1 more source

A Survey on Aspect-Based Sentiment Classification

ACM Computing Surveys, 2023
Gianni Brauwers, Flavius Frasincar
exaly  

Investor classification and sentiment analysis

2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016
Arijit Chatterjee, William Perrizo
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Verb Oriented Sentiment Classification

2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012
Mostafa Karamibekr, Ali A. Ghorbani 0001
openaire   +1 more source

Aspect-level sentiment classification based on attention-BiLSTM model and transfer learning

Knowledge-Based Systems, 2022
Guixian Xu, Zixin Zhang, Yueting Meng
exaly  

GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification

Expert Systems With Applications, 2021
Xiaofei Zhu, Jiafeng Guo, Shangsong Liang   +2 more
exaly  

Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification

Knowledge-Based Systems, 2020
Linlin Hou
exaly  

Unsupervised Sentiment Classification

2016
This chapter describes the design and implementation of the unsupervised sentiment classification procedure. The classification procedure consisted of two core components: a bespoke sentiment analysis system developed by the author and the SenticNet sentiment lexicon. The sentiment lexicon acted as the source of sentiment information, and the sentiment
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Ensemble of feature sets and classification algorithms for sentiment classification

Information Sciences, 2011
Chengqing Zong, Shoushan Li
exaly