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- W4256278551 abstract "The evolution of technology, along with the common use of different devices connected to the Internet, provides a vast growth in the volume and variety of data that are daily generated at high velocity, phenomenon commonly denominated as Big Data. Related with this, several Text Mining techniques make possible the extraction of useful insights from that data, benefiting the decision-making process across multiple areas, using the information, models, patterns or tendencies that these techniques are able to identify. With Sentiment Analysis, it is possible to understand which sentiments and opinions are implicit in this data. This paper proposes an architecture for Sentiment Analysis that uses data from the Twitter, which is able to collect, store, process and analyse data on a real-time fashion. To demonstrate its utility, practical applications are developed using real world examples where Sentiment Analysis brings benefits when applied. With the presented demonstration case, it is possible to verify the role of each used technology and the techniques adopted for Sentiment Analysis." @default.
- W4256278551 created "2022-05-12" @default.
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- W4256278551 date "2020-01-01" @default.
- W4256278551 modified "2023-09-27" @default.
- W4256278551 title "Sentiment Analysis with Text Mining in Contexts of Big Data" @default.
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- W4256278551 cites W2015186536 @default.
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- W4256278551 doi "https://doi.org/10.4018/978-1-7998-2460-2.ch047" @default.
- W4256278551 hasPublicationYear "2020" @default.
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