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Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

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Data Mining Approaches for Big Data and Sentiment Analysis in Social Media - Gupta, Brij B (Editor), and Perakovic, Dragan (Editor), and Abd El-Latif, Ahmed A (Editor)
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Social media sites are constantly evolving with huge amounts of scattered data or big data, which makes it difficult for researchers to trace the information flow. It is a daunting task to extract a useful piece of information from the vast unstructured big data; the disorganized structure of social media contains data in various forms such as text and videos as well as huge real-time data on which traditional analytical methods like statistical approaches fail miserably. Due to this, there is a need for efficient data ...

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Data Mining Approaches for Big Data and Sentiment Analysis in Social Media 2021, Engineering Science Reference

ISBN-13: 9781799884132

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Data Mining Approaches for Big Data and Sentiment Analysis in Social Media 2021, Engineering Science Reference

ISBN-13: 9781799884149

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