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Topic – Community Feedback
Analyzer
Problem Statement
"Inefficient comment analysis and filtering on social media platforms
hinder content creators and influencers from effectively engaging with
their audience. There is a need for a user-friendly tool that accurately
classifies comments, filters out irrelevant or low-quality content, and
enhances communication between creators and their community.
Objective
• Develop an advanced tool for analyzing and managing comments on social media
platforms.
• Improve the accuracy of comment classification using machine learning and natural
language processing.
• Streamline the process of filtering comments to remove irrelevant or low-quality content.
• Facilitate meaningful engagement between content creators and their audience.
• Enhance productivity and mental well-being of content creators by reducing manual
comment management efforts.
• Empower content creators to build stronger connections with their followers and grow
their online communities.
Methodology
• Develop an advanced tool for analyzing and managing comments on social media platforms.
• Improve the accuracy of comment classification using machine learning and natural language
processing.
• Streamline the process of filtering comments to remove irrelevant or low-quality content.
• Facilitate meaningful engagement between content creators and their audience.
• Enhance productivity and mental well-being of content creators by reducing manual
comment management efforts.
• Empower content creators to build stronger connections with their followers and grow their
online communities.
Other
Websites
THANK YOU
Presentation by:
Pankaj Borhade (BT3103)
Atharva Joshi (BT3113)
Pratik Shinde (BT3130)

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MainProjectReview1sdfsfsdfsdfsddsfsd.pptx

  • 1. Topic – Community Feedback Analyzer
  • 2. Problem Statement "Inefficient comment analysis and filtering on social media platforms hinder content creators and influencers from effectively engaging with their audience. There is a need for a user-friendly tool that accurately classifies comments, filters out irrelevant or low-quality content, and enhances communication between creators and their community.
  • 3. Objective • Develop an advanced tool for analyzing and managing comments on social media platforms. • Improve the accuracy of comment classification using machine learning and natural language processing. • Streamline the process of filtering comments to remove irrelevant or low-quality content. • Facilitate meaningful engagement between content creators and their audience. • Enhance productivity and mental well-being of content creators by reducing manual comment management efforts. • Empower content creators to build stronger connections with their followers and grow their online communities.
  • 4. Methodology • Develop an advanced tool for analyzing and managing comments on social media platforms. • Improve the accuracy of comment classification using machine learning and natural language processing. • Streamline the process of filtering comments to remove irrelevant or low-quality content. • Facilitate meaningful engagement between content creators and their audience. • Enhance productivity and mental well-being of content creators by reducing manual comment management efforts. • Empower content creators to build stronger connections with their followers and grow their online communities.
  • 6. THANK YOU Presentation by: Pankaj Borhade (BT3103) Atharva Joshi (BT3113) Pratik Shinde (BT3130)