Results 231 to 240 of about 50,760 (261)
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Joint sentiment/topic model for sentiment analysis
Proceedings of the 18th ACM conference on Information and knowledge management, 2009Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes a novel probabilistic modeling framework based on Latent Dirichlet Allocation (LDA), called joint sentiment/topic model (JST), which detects sentiment and topic simultaneously
Chenghua Lin, Yulan He 0001
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2015
Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis.
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Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis.
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2016
The tasks that falls under the errands that takes after Natural Language Processing approaches includes Named Entity Recognition, Information Retrieval, Machine Translation, and so on. Wherein Sentiment Analysis utilizes Natural Language Processing as one of the way to locate the subjective content showing negative, positive or impartial (neutral ...
Sanjeera Siddiqui +2 more
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The tasks that falls under the errands that takes after Natural Language Processing approaches includes Named Entity Recognition, Information Retrieval, Machine Translation, and so on. Wherein Sentiment Analysis utilizes Natural Language Processing as one of the way to locate the subjective content showing negative, positive or impartial (neutral ...
Sanjeera Siddiqui +2 more
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2016
This study examines the role of context in evaluating responses to social media posts online. Current sentiment analysis tools evaluate the content of posts without considering the broader context that the post comes from. Utilizing data from an in-person study, we examine differences between perceived sentiment evaluation when social media response ...
William Frankenstein +2 more
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This study examines the role of context in evaluating responses to social media posts online. Current sentiment analysis tools evaluate the content of posts without considering the broader context that the post comes from. Utilizing data from an in-person study, we examine differences between perceived sentiment evaluation when social media response ...
William Frankenstein +2 more
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2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII), 2023
Barlette Makuwe +2 more
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Barlette Makuwe +2 more
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Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges
ACM Computing Surveys, 2023Ringki Das, Thoudam Doren Singh
exaly
A Survey on Aspect-Based Sentiment Classification
ACM Computing Surveys, 2023Gianni Brauwers, Flavius Frasincar
exaly
Multimodal sentiment analysis based on fusion methods: A survey
Information Fusion, 2023Linan Zhu, Yifei Xu, Xiangjie Kong
exaly
Improving aspect-based sentiment analysis with Knowledge-aware Dependency Graph Network
Information Fusion, 2023Haiyan Wu, Shengchun Deng
exaly

