Abstract
With the rise of the social networking era, there is a sudden and great increase in user-generated content. Millions of people share their daily life and status by blogging on social media like Twitter. So it’s a great source to analyze sentiments by simply using the text of social media and simple manner of expression. Due to the advancement of technology and easy availability of internet people are getting attracted towards the web television series due to the originality of the content and free of commercials breaks. Netflix is also one of the subscription-based videos on demand site is popularizing and got a sustainable advantage over traditional networks these days. This paper focuses on four popular comic web series and performed sentimental analysis for the prediction of the most popular web series among the four cartoon series.
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Garg, P.K., Pandey, M., Arora, M. (2020). Sentiment Analysis for Predicting the Popularity of Web Series. In: Batra, U., Roy, N., Panda, B. (eds) Data Science and Analytics. REDSET 2019. Communications in Computer and Information Science, vol 1230. Springer, Singapore. https://doi.org/10.1007/978-981-15-5830-6_12
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DOI: https://doi.org/10.1007/978-981-15-5830-6_12
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