Sentiment analysis for web series using deep learning techniques in the times of COVID-19
Muskan Dixit, Saravjeet Singh · 2023
Chapter 18 deals with sentiment analysis for web series during the COVID-19 pandemic. In order to understand the impact and impression the web series makes on the audience, the contents from web platforms were collected and analyzed using the natural language processing (NPL) technique. To analyze the viewer’s sentiment, comments and utterances were collected and pre-processed to get generalized vocabulary. The data of 63 578 mentions and reviews were collected and analyzed using Brand24 software. The web series, that are, Friends, Game of Thrones, Sherlock Holmes and Ragnarok were found to have constrictive and pragmatic impact on viewers during COVID-19. However, the web series Cursed was negatively reviewed by 61% during the same period. Overall, 54.53% of viewers have positive comments on web series.