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Application of Sentiment Analysis in Diverse Domains

  • Soni Sweta

摘要

The book chapter titled “Application of Sentiment Analysis in Diverse Domains” basically covers the applications and uses in all important areas like business, finance, marketing, healthcare, education and many more. Being futuristic concept, its benefits apply across the various domains with same intensity. The capturing of learner’s feeling expressed in textual/audio/video/social media data and its understanding are the most important factors. It will improve further on advancement of the technology when more sentiment variables will be precisely detected and analysed by the latest tools described in the next chapter. This chapter illustrates a study on various applications of Sentiment Analysis that is from marketing and business to finance, commerce and trade, healthcare to pharma, aviation and beyond. It describes the categorisation of the tools, techniques and models employed in the study for extracting meaningful insights from the vast amount of textual/audio/video/social media information. Each domain is analysed in terms of lying opportunities and specific challenges. It is illustrated how the Sentiment Analysis adaptively predicting the requirements of the learners and recommending the best solutions for different industries. The applications emphasised further determining consumer preferences, assessing public opinion, improving decision-making processes and demonstrating the significant impact of Sentiment Analysis in future. This chapter can be used as a valuable resource by practitioners, researchers and enthusiasts to understand the wide scope of the Sentiment Analysis and how it can be used to improvised real-life experiences in diverse domains.