Abstract
This paper discusses the social media analysis through big data analytics. It includes the various techniques such as NLP, news analysis, opinion mining, scraping, and sentiments analysis for unstructured textual data sets. This paper discusses the various text formats such as HTML, XML, JSON, and CSV. Through the detailed survey, we identify the social media analytics techniques like sentiment analysis & computational science technique. Sentiment analysis is related to attitude, feelings & emotions for specific purpose (e.g. product prediction). This paper also discusses the platform and tools for social media analysis such as business toolkit, scientific programming tools, monitoring tools and feature analysis tools.
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