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020 |a9789811647291|9978-981-16-4729-1
024 7 |a10.1007/978-981-16-4729-1|2doi
041 |aeng
049 |aTürk Dil Kurumu Kütüphanesi
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245 10|aBig Data Analytics in Cognitive Social Media and Literary Texts|h[electronic resource] :|bTheory and Praxis /|cedited by Sanjiv Sharma, Valiur Rahaman, G. R. Sinha.
250 |a1st ed. 2021.
264 1|aSingapore :|bSpringer Nature Singapore :|bImprint: Springer,|c2021.
300 |aXXIX, 300 p. 189 illus., 134 illus. in color.|bonline resource.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
347 |atext file|bPDF|2rda
505 0 |aChapter 1. The Concept of Cognitive Social Media and Cognitive Literary Studies (Valiur Rahaman).-Chapter 2. Big Data Analytics for Market Prediction via Consumer Insight (Hemant Kumar Soni) -- Chapter 3. Deconstructive Big Data Analytics: A Literary Texts Analysis through Atlas.ti Software (Valiur Rahaman) -- Chapter 4. Study of Big Data Analytics Tool: Apache Spark (GL Prajapati) -- Chapter 5. Analyzing Women Health-related Quality of Life Using Sentiment Analysis on Social Media -- Chapter 6. Understanding Literary Diaspora for Digital Diasporas as Cognitive Social Media: BDA for Peace and Harmony (Ajay Kumar Chaubey) -- Chapter 7. Security and Privacy Challenges for Big Data on Social Media (Vineet Raj Singh Kushwah) -- Chapter 8. Social Media: The Dark Horse of Market in Consumer Decision Journey (Sakshi Agarwal).
520 |aThis book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic research and focuses on knowledge extraction, prediction, and decision-making in the context of individual, social, and national development. The content is divided into three main sections: the first of which discusses various approaches associated with Big Data Analytics, while the second addresses the security and privacy of big data in social media, and the last focuses on the literary text as the literary data in Big Data Analytics. Sharing valuable insights into the etiology behind human cognition and its reflection in social media and literary texts, the book benefits all those interested in analytics that can be applied to literature, history, philosophy, linguistics, literary theory, media & communication studies and computational/digital humanities.
650 0|aDigital humanities.
650 0|aQuantitative research.
650 0|aSocial media.
650 14|aDigital Humanities.
650 24|aData Analysis and Big Data.
650 24|aSocial Media.
700 1 |aSharma, Sanjiv.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
700 1 |aRahaman, Valiur.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
700 1 |aSinha, G. R.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
710 2 |aSpringerLink (Online service)
773 0 |tSpringer Nature eBook
776 08|iPrinted edition:|z9789811647284
776 08|iPrinted edition:|z9789811647307
776 08|iPrinted edition:|z9789811647314
856 40|uhttps://doi.org/10.1007/978-981-16-4729-1
912 |aZDB-2-LCM
912 |aZDB-2-SXL
950 |aLiterature, Cultural and Media Studies (SpringerNature-41173)
950 |aLiterature, Cultural and Media Studies (R0) (SpringerNature-43723)