Customer Sentiment Analytics
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Sentiment analysis is analyzing the customer’s inclination, emotions, and feelings towards a product, its brand, and personal reviews regarding that. In Sentiment, analysis data is gathered from different social media platforms. This data is interpreted, analyzed, and visualized to get insights out of it. This may help industries to know “What Customer Wants?”
This helps in understanding the trends to make better business decisions.
Using techniques like natural language processing, data analysis tools go through the text and categorize it into positive, negative, or neutral. Any negative review can be analyzed at scale and preventive actions can be taken.
Benefits for the company
Improved Insights: In the case of the food industry this form of analysis is employed to comprehend latest trends as well as popular items.
Feasability
High
Type of expertise/ AI domain
Natural Language Processing, Text Mining, Sentiment Analysis
Internal data required
Customer Feedback, Social Media Data, etc.