💡[Feature]: Add emotion classification from text

[mehul-m-prajapati]

Is there an existing issue for this?

• [X] I have searched the existing issues

Feature Description

Creating an Emotion Recognition system from text involves using natural language processing (NLP) techniques to classify text into emotional categories.

Use Case

1. Customer Support Sentiment Analysis: Automatically classify customer inquiries or complaints to identify emotional tone (e.g., anger, frustration) and route them to the appropriate support tier. Response Generation: Tailor responses based on detected emotions, improving customer satisfaction.
2. Social Media Monitoring Brand Sentiment Tracking: Analyze user comments and posts about a brand to gauge public sentiment and emotions related to products or services. Crisis Management: Detect negative emotions in real-time during brand crises to respond swiftly and effectively.

Benefits

No response

Add ScreenShots

No response

Priority

High

Record

• [X] I have read the Contributing Guidelines
• [X] I'm a GSSOC'24 contributor
• [X] I want to work on this issue

[github-actions[bot]]

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[mehul-m-prajapati]

@sanjay-kv : please assign this to me

[github-actions[bot]]

Hello @mehul-m-prajapati! Your issue #1327 has been closed. Thank you for your contribution!