Toxic Comment Classification for Social Media

"Toxic Comment Classification for Social Media: Developing methods to identify and manage harmful or offensive content in online platforms."

40 Hrs. | Intermediate

INR 0

This Course Includes:

  • 30 Days Access to Workspace
  • Dedicated Mentor Support
  • Project Resources & References
  • Project Completion Certificate
Skills you will develop

  • Python
  • Python Web Frame works
  • Exploratory data Analysis
  • NLP
  • Flask integration
Project Description

The project focuses on implementing toxic comment classification for social media using IBM services. Leveraging IBM's advanced natural language processing (NLP) capabilities, the system aims to identify and categorize toxic comments in real-time, enabling proactive moderation and fostering a safer online community environment.

Scenarios:


Scenario 1: Comment Moderation

Situation: A social media platform experiences a surge in user activity, with comments flooding in on various posts.


Scenario 2: Real-Time Response to Hate Speech

Situation: A controversial topic gains traction on social media, sparking heated debates and inflammatory comments.


Scenario 3: Community Management and User Engagement

Situation: A community forum encounters disruptive behavior from certain users, with toxic comments detracting from meaningful discussions.


Architecture:


Project Activities

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