pabitralenka/Customer-Feedback-Analysis
Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.
This helps customer support managers or product managers automatically sort incoming customer feedback. You provide raw customer feedback sentences in English, French, Japanese, or Spanish, and it classifies them into categories like 'comment', 'request', 'bug', 'complaint', 'meaningless', or 'undetermined'. This allows you to quickly understand trends and prioritize issues from large volumes of unstructured text.
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Use this if you need to automatically categorize customer feedback from multiple languages into predefined classes to streamline analysis and response.
Not ideal if you need to analyze feedback in languages other than English, French, Japanese, or Spanish, or require more nuanced sentiment analysis beyond simple categorization.
Stars
25
Forks
11
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 10, 2018
Commits (30d)
0
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