What is the impact of audience sentiment on content viewership?

Data Analytics

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.

Key Takeaways:

  • Viewership is highly influenced by controversial content, poor word-of-mouth, social media backlash, performers’ overall reputation, vulgarity & indecency, failed franchises, and religious insensitivity.
  • Word-of-mouth is one of the most useful ways to get consumers to watch new TV shows and movies.
  • Audience feedback is a crucial technique for influencing content viewership and engagement.

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