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Published in 2017 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.21878
Abstract: In group decision making, there are many situations where the opinion of the majority of participants is critical. The scenarios could be multiple, like a number of doctors finding commonality on the diagnose of an…
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Keywords:
approach sentiment;
consensus approach;
sentiment analysis;
majority ... See more keywords
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Published in 2019 at "Proceedings of the Association for Information Science and Technology"
DOI: 10.1002/pra2.202
Abstract: A sudden outbreak of the Zika virus led to public panic and discussion on social Q&A forums. Most research studies concentrated on what the public discussed about the Zika virus. However, how they felt during…
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Keywords:
posts yahoo;
related posts;
zika virus;
sentiment analysis ... See more keywords
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Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-018-03742-1
Abstract: Macroeconomic conditions and users’ word of mouth have significant impacts on the purchase decisions of consumers, and they can be potentially used to conduct better sales forecasts, but study on this aspect is relatively scarce.…
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Keywords:
online reviews;
macroeconomic indicators;
product sales;
indicators online ... See more keywords
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Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04402-8
Abstract: With the rapid growth of web content from social media, such studies as online opinion mining or sentiment analysis of text have started receiving attention from government, industry, and academic sectors. In recent years, sentiment…
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Keywords:
social media;
sentiment analysis;
deep learning;
sentiment ... See more keywords
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Published in 2022 at "Soft Computing"
DOI: 10.1007/s00500-021-06444-3
Abstract: Sentiment analysis or opinion mining has an extensive area in the field of research. Today we consider the huge amount of structured and unstructured data available in the web for a particular subject to get…
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Keywords:
analysis;
temporal intuitionistic;
sentiment;
intuitionistic fuzzy ... See more keywords
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Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3477-2
Abstract: AbstractFeature extraction is one of the key steps for text sentiment analysis (SA), and the corresponding algorithms have important effect on the results. In the paper, a novel methodology is proposed to extract the feature…
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Keywords:
methodology;
feature;
product;
sentiment analysis ... See more keywords
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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04105-z
Abstract: Sentiment analysis, also known as opinion mining, is a computational study of unstructured textual information which is used to analyze a persons attitude from a piece of text. This paper proposes an efficient method for…
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Keywords:
based sentiment;
sentiment;
aspect based;
optimization ... See more keywords
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Published in 2017 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-017-1134-1
Abstract: Mining financial text documents and understanding the sentiments of individual investors, institutions and markets is an important and challenging problem in the literature. Current approaches to mine sentiments from financial texts largely rely on domain-specific…
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Keywords:
performance indicators;
sentiment analysis;
financial texts;
performance ... See more keywords
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Published in 2018 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-018-1212-z
Abstract: Sentiment analysis or opinion mining is a domain that analyses people’s opinions, sentiments, evaluations, attitudes, and emotions from a written language; it had become a very active area of scientific research in recent years, especially…
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Keywords:
similarity;
sentiment analysis;
semantic similarity;
tweet ... See more keywords
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Published in 2020 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-020-09845-2
Abstract: The current decade has witnessed the remarkable developments in the field of artificial intelligence, and the revolution of deep learning has transformed the whole artificial intelligence industry. Eventually, deep learning techniques have become essential components…
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Keywords:
deep neural;
neural networks;
sentiment;
deep learning ... See more keywords
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Published in 2020 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-020-09870-1
Abstract: Sentiment analysis is an area of study that aims to develop computational methods and tools to extract and classify the opinions and emotions expressed by people on social networks, blogs, forums, online shoppings, and others.…
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Keywords:
portuguese language;
analysis portuguese;
language;
sentiment analysis ... See more keywords