Toxic comments detection ratio

Nish Kamli

Nish Kamli

Vadodara, Gujarat

1 0
  • 0 Collaborators

Machine Learning Tensorflow model for detecting toxic comments ratio final execution and implementation concept.Toxic comments recognition is based on simple queries implemented on Tensorflow and tested,which i am going to update soon to also detect some of the major toxic comments present on the in ...learn more

Project status: Concept

HPC, Internet of Things, Artificial Intelligence

Groups
Student Developers for AI

Overview / Usage

Vision is to improve and make internet a better place for everybody,as internet is the best university one can get.As in today's generation a lot of good stuff and information is present on the internet and as we know it;s always fun to learn,but a factor should also be considered that is spreading toxicity on the internet platform.To minimize this problem an machine learning algorithm is built and is in progress to detect then amount of toxic comments ratio present on the internet.

Methodology / Approach

Normal queries are being used with the support of Machine Learning Methodology along with Tensorflow.

Technologies Used

Samsung galaxy S7 mobile device,HP laptop to test the beta version,Artificial Intelligence,machine learning algorithm.

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