Results 51 to 60 of about 51,938 (169)
Refined Global Word Embeddings Based on Sentiment Concept for Sentiment Analysis
IEEE Access, 2021 Sentiment Analysis is an important research direction of natural language processing, and it is widely used in politics, news and other fields. Word embeddings play a significant role in sentiment analysis.
Yabing Wang +5 more
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Usefulness of Sentiment Analysis
, 2012 What can text sentiment analysis technology be used for, and does a more usage-informed view on sentiment analysis pose new requirements on technology development?
Jussi Karlgren +4 more
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A hybrid approach to sentiment analysis [PDF]
2016 IEEE Congress on Evolutionary Computation (CEC), 2016 This contribution presents a hybrid approach to Sentiment Analysis (SA) encompassing the use of semantic rules, fuzzy sets, unsupervised machine learning techniques and a sentiment lexicon improved with the support of Senti-WordNet. A Hybrid Standard Classification is first carried out, which is further enhanced into a Hybrid Advanced approach ...
Orestes Appel +3 more
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A survey on sentiment analysis challenges
Journal of King Saud University: Engineering Sciences, 2018 With accelerated evolution of the internet as websites, social networks, blogs, online portals, reviews, opinions, recommendations, ratings, and feedback are generated by writers. This writer generated sentiment content can be about books, people, hotels,
Doaa Mohey El-Din Mohamed Hussein
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Google Cloud vs. Azure: sentiment analysis accuracy for Polish and English across content types
Journal of Cloud Computing: Advances, Systems and ApplicationsThis study investigated the comparative performance of two popular sentiment analysis tools, Azure Sentiment Analysis and Google Cloud Sentiment Analysis, applied to Polish and English text data.
Łukasz Pawlik
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, 2017 Social networks are the main resources to gather information about people’s opinion and sentiments towards different topics as they spend hours daily on social media and share their opinion. In this technical paper, we show the application of sentimental analysis and how to connect to Twitter and run sentimental analysis queries.
Hamid Bagheri, Md Johirul Islam
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Multi-Strategy Sentiment Analysis of Consumer Reviews Based on Semantic Fuzziness
IEEE Access, 2018 Since Internet has become an excellent source of consumer reviews, the area of sentiment analysis (also called sentiment extraction, opinion mining, opinion extraction, and sentiment mining) has seen a large increase in academic interest over the last ...
Ying Fang, Hai Tan, Jun Zhang
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IEEE Access, 2020 The increase in the volume of user-generated content on Twitter has resulted in tweet sentiment analysis becoming an essential tool for the extraction of information about Twitter users' emotional state.
Huyen Trang Phan +3 more
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CoRR, 2015 This project addresses the problem of sentiment analysis in twitter; that is classifying tweets according to the sentiment expressed in them: positive, negative or neutral. Twitter is an online micro-blogging and social-networking platform which allows users to write short status updates of maximum length 140 characters.
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Methods of improving sentiment analysis based on sentiment dictionary
Franklin OpenSentiment analysis relying on predefined dictionaries often suffers from reduced accuracy due to biases in the sentiment scores assigned to certain words.
Janghoon Yang
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