Customer Sentiment Analysis
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Media and entertainment companies must analyze the sentiments of their customer groups. Customer sentiment analysis uses advanced algorithms and machine learning techniques to analyze textual conversations and classifying posts, and messages based on the emotions hidden behind the context. This can help media and entertainment companies to increase positive mentions of their names and improve brand image.
Benefits for the company
All the media and entertainment companies seek to distinguish how the visitors feel about their content, web page, or web apps. This knowledge gives a prospect to adjust to the viewer’s taste.
It can increase positive mentions of their names, to create a positive image and develop relevant content.
Feasability
High
Type of expertise/ AI domain
Natural Language Processing, Text Analysis
Internal data required
Customer Interaction, Social Data
Modern tools used for customer sentiment analysis can distinguish between six emotional states as defined by Paul Ekman.