Articles with "sentiment analysis" as a keyword



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A Consensus Approach to the Sentiment Analysis Problem Driven by Support‐Based IOWA Majority

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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… read more here.

Keywords: approach sentiment; consensus approach; sentiment analysis; majority ... See more keywords
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How did people feel during the Zika virus breakout? A sentiment analysis of Zika virus related posts on Yahoo! Answers

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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… read more here.

Keywords: posts yahoo; related posts; zika virus; sentiment analysis ... See more keywords
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Product sales forecasting using macroeconomic indicators and online reviews: a method combining prospect theory and sentiment analysis

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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.… read more here.

Keywords: online reviews; macroeconomic indicators; product sales; indicators online ... See more keywords
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Exploration of social media for sentiment analysis using deep learning

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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… read more here.

Keywords: social media; sentiment analysis; deep learning; sentiment ... See more keywords
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High performing sentiment analysis based on fast Fourier transform over temporal intuitionistic fuzzy value

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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… read more here.

Keywords: analysis; temporal intuitionistic; sentiment; intuitionistic fuzzy ... See more keywords
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A novel feature extraction methodology for sentiment analysis of product reviews

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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… read more here.

Keywords: methodology; feature; product; sentiment analysis ... See more keywords
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Aspect-based sentiment analysis using deep networks and stochastic optimization

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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… read more here.

Keywords: based sentiment; sentiment; aspect based; optimization ... See more keywords
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Sentiment analysis of financial news articles using performance indicators

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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… read more here.

Keywords: performance indicators; sentiment analysis; financial texts; performance ... See more keywords
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Sentiment analysis using semantic similarity and Hadoop MapReduce

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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… read more here.

Keywords: similarity; sentiment analysis; semantic similarity; tweet ... See more keywords
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Sentiment analysis with deep neural networks: comparative study and performance assessment

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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… read more here.

Keywords: deep neural; neural networks; sentiment; deep learning ... See more keywords
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A survey of sentiment analysis in the Portuguese language

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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.… read more here.

Keywords: portuguese language; analysis portuguese; language; sentiment analysis ... See more keywords