Data & Research · GitHub ·91 ★

Audio-Sentiment-Analysis

This repository consists of work done to analyse sentiment of a customer in a conversation with a call center agent using various machine learning algorithms and audio features.

Details

Author
shaharpit809
Category
Data & Research
Platform
GitHub
Framework
custom
Language
python
Stars
91
First indexed
2026-05-15
Last active
2019-08-22
Directory sync
2026-05-15

Overview

This repository consists of work done to analyse sentiment of a customer in a conversation with a call center agent using various machine learning algorithms and audio features.

Quick start

git

git clone https://github.com/shaharpit809/Audio-Sentiment-Analysis

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What Audio-Sentiment-Analysis can do

  • Audio — Transcribes, generates, or transforms audio.
  • Sentiment — sentiment task automation.
  • Analy — analy task automation.

Frequently asked questions

What is Audio-Sentiment-Analysis?
This repository consists of work done to analyse sentiment of a customer in a conversation with a call center agent using various machine learning algorithms and audio features.
How do I install Audio-Sentiment-Analysis?
Use git: `git clone https://github.com/shaharpit809/Audio-Sentiment-Analysis`. Full setup details on the source page linked above.
Is Audio-Sentiment-Analysis open source?
Audio-Sentiment-Analysis is published on GitHub.
What are alternatives to Audio-Sentiment-Analysis?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for Audio-Sentiment-Analysis is sourced from GitHub, published by shaharpit809.

Last scraped: · First indexed:

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