Viewing and engagement of digital content are significantly influenced by audience attitude. People are more likely to share, suggest, and keep consuming comparable information from the same source when they appreciate and connect with it. Consumer sentiments are determined by a dedicated process, including data collection, pre-processing of data, feature extraction, ML model, and output. It is, therefore, essential to predict video views via sentiment analysis and ML methods and ascertain the important factors that affect video views.
What is the Impact of Audience Sentiment on Content Viewership?
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