Results 61 to 70 of about 23,660,558 (336)
Text sentiment visual analysis technology and its application in humanities
大数据, 2022 Sentiment analysis is the mining of information sentiment tendency, which is mainly used for public opinion monitoring, commodity review analysis, and information retrieval.With the rapid development of social media, the volume of text data has shown ...
Lingli ZHANG +6 more
doaj
Micro-Blog Sentiment Analysis Based on Linguistic Context [PDF]
Jisuanji gongcheng, 2017 Traditional sentiment analysis method only considers a single text,and the recognition rate of sentiment polarity is low when the micro-blog text is short and colloquial.In order to solve this problem,a kind of sentiment analysis method combined with ...
QIN Feng,WANG Heng,ZHENG Xiao,WANG Xiujun
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Social Network Analysis and Mining, 2023 Social media platform such as Twitter provides a space where users share their thoughts and opinion as well as connect, communicate, and contribute to certain topics using short, 140 characters posts, known as tweets.
Yuxing Qi, Zahratu Shabrina
semanticscholar +1 more source
Sentiment analysis: A survey on design framework, applications and future scopes
Artificial Intelligence Review, 2023 Sentiment analysis is a solution that enables the extraction of a summarized opinion or minute sentimental details regarding any topic or context from a voluminous source of data.
Monali Bordoloi, S. Biswas
semanticscholar +1 more source
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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Artificial Intelligence and Sentiment Analysis: A Review in Competitive Research
De Computis, 2023 As part of a business strategy, effective competitive research helps businesses outperform their competitors and attract loyal consumers. To perform competitive research, sentiment analysis may be used to assess interest in certain themes, uncover market
Hamed Taherdoost, Mitra Madanchian
semanticscholar +1 more source
A Barrage Sentiment Analysis Scheme Based on Expression and Tone
IEEE Access, 2019 Most of existing methods do not consider the influence of expression and tone on barrage sentiment analysis. This decreases the effect and accuracy of barrage sentiment analysis.
Zongmin Cui +5 more
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Sentiment analysis of health care tweets: review of the methods used. [PDF]
, 2017 BACKGROUND: Twitter is a microblogging service where users can send and read short 140-character messages called "tweets." There are several unstructured, free-text tweets relating to health care being shared on Twitter, which is becoming a popular area ...
Darzi, A, Gohil, S, Vuik, S
core +1 more source
Hyperparameter Tuning for Machine Learning Algorithms Used for Arabic Sentiment Analysis
Informatics, 2021 Machine learning models are used today to solve problems within a broad span of disciplines. If the proper hyperparameter tuning of a machine learning classifier is performed, significantly higher accuracy can be obtained.
Enas Elgeldawi +3 more
semanticscholar +1 more source
Relational Graph Attention Network for Aspect-based Sentiment Analysis [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 Aspect-based sentiment analysis aims to determine the sentiment polarity towards a specific aspect in online reviews. Most recent efforts adopt attention-based neural network models to implicitly connect aspects with opinion words.
Kai Wang +4 more
semanticscholar +1 more source