Challenges and Issues in Sentiment Analysis: A Comprehensive Survey
IEEE Access, 2023 Sentiment analysis, a specialization of natural language processing (NLP), has witnessed significant progress since its emergence in the late 1990s, owing to the swift advances in deep learning techniques and the abundance of vast digital datasets ...
Nilaa Raghunathan +1 more
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Performance Investigation of Features Extraction and Classification Approaches for Sentiment Analysis Systems [PDF]
IJCI International Journal of Computers and Information, 2022 Data pre-processing and feature extraction of micro-blogging data in sentiment analysis systems becomes an effective field of analysis. Object identification, negation expressions, sarcasm, outlines, misspellings are the major issues faced during ...
walid atwa +2 more
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Sentiment Expression Boundaries in Sentiment Polarity Classification [PDF]
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2018 We investigate the effect of using sentiment expression boundaries in predicting sentiment polarity in aspect-level sentiment analysis. We manually annotate a freely available English sentiment polarity dataset with these boundaries and carry out a series of experiments which demonstrate that high quality sentiment expressions can boost the performance
Rasoul, Kaljahi, Jennifer, Foster
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Research on traditional Mongolian sentiment analysis combined with prior knowledge [PDF]
E3S Web of Conferences, 2022 In order to solve some problems of traditional machine learning algorithms in Mongolian sentiment analysis tasks, such as low accuracy, few sentiment corpus, and poor training effect, a Traditional Mongolian sentiment classification algorithm integrates ...
Zhang Qian, Ren Qingdaoerji, Ji Yatu
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Barekeng, 2023 Sentiment analysis is a data text analysis that classifies data into positive and negative sentiments. This study aims to obtain the results of sentiment classification related to Merdeka Belajar Kampus Merdeka policy on Twitter using support vector ...
Nurul Rezki +2 more
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Sentiment Analysis Is Not Solved! Assessing and Probing Sentiment Classification [PDF]
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019 Accepted to BlackBoxNLP Workshop at ACL ...
Barnes, Jeremy Claude +2 more
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Research on Sentiment Classification of Online Travel Review Text
Applied Sciences, 2020 In recent years, the number of review texts on online travel review sites has increased dramatically, which has provided a novel source of data for travel research.
Wen Chen +4 more
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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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Aspect-based Sentiment Classification for Word Information Enhancement Based on Sentence Information [PDF]
Jisuanji kexueAspect-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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Bi-GRU Sentiment Classification for Chinese Based on Grammar Rules and BERT
International Journal of Computational Intelligence Systems, 2020 Sentiment classification is a fundamental task in NLP, and its aim to predict the sentiment polarities of the given texts. Recent researches show great interest in modeling Chinese sentiment classification.
Qiang Lu +5 more
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