Results 1 to 10 of about 3,384 (149)
Constructing a domain-specific sentiment lexicon for agricultural product reviews using BERT and SO-PMI. [PDF]
PLoS ONEThe absence of a sentiment lexicon tailored to agricultural product reviews presents significant challenges for accurate sentiment analysis in this domain. Existing general-purpose lexicons, such as NTUSD, HOWNET, and BosonNLP, fail to capture the unique
Jinghua Wu, Peng Qiu, Xun Jia
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A Method of Mining Sentiment Word for Depression Patients Based on Word Frequency-Polarity Intensity
Taiyuan Ligong Daxue xuebao, 2021 Extracting sentiment words from the online comments of depression patients provides a necessary basis for the effective analysis of depression patients’ psychological tendency.
Chang YIN +3 more
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Journal of ICT Research and Applications, 2023 In this paper, two techniques for sentiment classification are proposed: Gujarati Lexicon Sentiment Analysis (GLSA) and Gujarati Machine Learning Sentiment Analysis (GMLSA) for sentiment classification of Gujarati text film reviews.
Parita Shah +2 more
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A Training-Optimization-Based Method for Constructing Domain-Specific Sentiment Lexicon
Complexity, 2021 Sentiment analysis has been widely used in text mining of social media to discover valuable information from user reviews. Sentiment lexicon is an essential tool for sentiment analysis.
Maokang Du, Xiaoguang Li, Longyan Luo
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Improving the performance of lexicon-based review sentiment analysis method by reducing additional introduced sentiment bias. [PDF]
PLoS ONE, 2018 Sentiment analysis is widely studied to extract opinions from user generated content (UGC), and various methods have been proposed in recent literature. However, these methods are likely to introduce sentiment bias, and the classification results tend to
Hongyu Han +4 more
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Lexicon-based sentiment analysis: Comparative evaluation of six sentiment lexicons [PDF]
Journal of Information Science, 2017 This article introduces a new general-purpose sentiment lexicon called WKWSCI Sentiment Lexicon and compares it with five existing lexicons: Hu & Liu Opinion Lexicon, Multi-perspective Question Answering (MPQA) Subjectivity Lexicon, General Inquirer, National Research Council Canada (NRC) Word-Sentiment Association Lexicon and Semantic Orientation
Khoo, Christopher S. G. +1 more
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Towards Debugging Sentiment Lexicons [PDF]
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2015 Central to many sentiment analysis tasks are sentiment lexicons (SLs). SLs exhibit polarity inconsistencies. Previous work studied the problem of checking the consistency of an SL for the case when the entries have categorical labels (positive, negative or neutral) and showed that it is NPhard.
Andrew Schneider, Eduard Dragut
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Sensors, 2021 The article focuses on solving an important problem of detecting suspicious reviewers in online discussions on social networks. We have concentrated on a special type of suspicious authors, on trolls.
Kristina Machova +2 more
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IEEE Access, 2020 Sentiment lexicon learning is of paramount importance in sentiment analysis. One of the most considerable challenges in learning sentiment lexicons is their domain-specific behavior.
Swati Sanagar, Deepa Gupta
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SSentiA: A Self-supervised Sentiment Analyzer for classification from unlabeled data
Machine Learning with Applications, 2021 In recent years, supervised machine learning (ML) methods have realized remarkable performance gains for sentiment classification utilizing labeled data. However, labeled data are usually expensive to obtain, thus, not always achievable.
Salim Sazzed, Sampath Jayarathna
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