Results 121 to 130 of about 633,534 (237)
Hybrid Deep Neural Network with Domain Knowledge for Text Sentiment Analysis
Sentiment analysis (SA) analyzes online data to uncover insights for better decision-making. Conventional text SA techniques are effective and easy to understand but encounter difficulties when handling sparse data.
Jawad Khan +4 more
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A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM
Sentiment analysis is an essential task in natural language processing that involves identifying a text’s polarity, whether it expresses positive, negative, or neutral sentiments.
Md Saef Ullah Miah +5 more
doaj +1 more source
Sentiment analysis methods, applications, and challenges: A systematic literature review
With the expansion of Internet-based applications, the number of comments shows explosive growth. Analyzing the attitudes and emotions behind comments provides powerful assistance for businesses, governments, and scholars.
Yanying Mao, Qun Liu, Yu Zhang
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Multi-aspect Sentiment Analysis with Topic Models [PDF]
Bin Lu +3 more
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Sentiment analysis is a cornerstone in many contextual data analyses, from opinion mining to public discussion analysis. Gender bias is one of the well-known issues in sentiment analysis models, which can produce different results for the same text ...
Mohammad Reza Yeganegi +2 more
doaj +1 more source
A Matter of Opinion: Sentiment Analysis and Business Intelligence (position paper)
Lillian Lee
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In recent years more and more people have been connecting with Social Networks. One of the most used is Twitter. This huge amount of information is attracting the interest of companies. One reason is that this huge source of information can be used to detect public opinion about their brands and thus improve their business values ...
openaire +1 more source

