alvaroarcelus/Sentiment-Analysis-Pipeline-for-Call-Center-Calls
End-to-end Sentiment Analysis Pipeline for Call Center Conversations
This tool helps call center managers and quality assurance teams analyze customer and agent interactions. It takes recorded Spanish call audio, transcribes it, identifies who is speaking, and then determines the sentiment and main emotions of both the customer and the employee. The output provides insights into conversation quality, problematic language, and overall customer satisfaction.
No commits in the last 6 months.
Use this if you need to automatically analyze recorded Spanish call center conversations, especially those formatted to Five9's specifications, to understand customer and agent sentiment and identify issues without manual listening.
Not ideal if your primary need is for a tool that guarantees perfect transcription and speaker separation on low-quality audio, or if your calls are in languages other than Spanish without custom model adjustments.
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15
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Language
Python
License
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Category
Last pushed
Oct 06, 2023
Commits (30d)
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/alvaroarcelus/Sentiment-Analysis-Pipeline-for-Call-Center-Calls"
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