Titlebook: Big Data Analytics in Cognitive Social Media and Literary Texts; Theory and Praxis Sanjiv Sharma,Valiur Rahaman,G. R. Sinha Book 2021 The E

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Introduction and Objectives of the Studyespect to the facts and statistics before deepening the aspects that are selected from the novel forms of interactions virtually. Specifically focusing on the recent findings in neuroscience research, there are some main questions that have to be answered: How do people deal with these latest types

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Consolidated Summary and Conclusionsrom their homeland to the other county and expatriate experiences. The hypothesis of the chapter is that diaspora experience is often traumatic, violent, and cognitively affected by an intense feeling of isolation of the individuals, and to avoid the bitter or inhuman consequences to human society,

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https://doi.org/10.1007/978-981-10-1091-0hological distress, an individual uses his cognitive functions to create a mechanism of coping. This brings in a balance in individuals’ life, which enhances their individual and social functioning. The North Eastern part of India is well known for its deficits in the area of social, economic, insta

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Cotton Cultivation in Andhra Pradeshsocial media and other platforms every day and every second, it is growing at exponential rates. Big Data is a new term given to huge datasets which is really hard to work on effectively. With the conventional data processing methods, it is difficult to process it. There are many challenges associat

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https://doi.org/10.1007/978-3-658-00918-2 need for and impact of Big Data Analytics is growing without bounds. The chapter elucidates the proficiency of behavioral predictions enabled through the big data further made available by people on various social media platforms, which guide the marketers throughout the Consumer Decision Journey.

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A Neo-Austrian Approach: Basic Conceptses in the existing world of knowledge. Relying on reviews of literature, researchers, and applications in social media, the authors explicate how deconstruction is practiced outside humanities and social sciences. In this context, application of deconstruction in science and technology would be stud

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https://doi.org/10.1007/978-3-662-03081-3istical findings on datasets obtained a classification performance efficiency of up to 92%. The experimental findings with high classification accuracy provide an efficient method for understanding a major social issue against Women through social media.