Collect and centralize feedback.
Make sense of large-scale feedback.
Turn data into meaningful insights.
Uncover customer needs, likes, and dislikes from product reviews and feedback.
Analyze customer reviews and ratings to optimize online shopping experiences.
Extract insights from social media conversations and online discussions.
Make sense of free-text survey responses with AI-powered analysis.
Understand customer sentiment and concerns from chat and call transcripts.
Identify workplace trends and employee sentiment from internal feedback and reviews.
A machine learning model is a virtual and intelligent space with the ability of both learning and predicting information. In our case, learning process only serves for text classification to predict the label.
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