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  • šŸ‘‹ Hi, Iā€™m @muthu-56
  • šŸ‘€ Iā€™m interested in building End to End Data science projects.
  • šŸŒ± Iā€™m currently learning Advanced Deep Learning and NLP techniques.
  • šŸ“« Reach me on +91-7845519963

Marimuthu Ayyanar's Projects

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

bot-cp icon bot-cp

Chatbot using Deep learning Encoder-Decoder

dockerfiles icon dockerfiles

Various Dockerfiles I use on the desktop and on servers.

opencv icon opencv

Open Source Computer Vision Library

sentiment-prediction-for-game-reviews-ec2_deployment icon sentiment-prediction-for-game-reviews-ec2_deployment

Steam is a video game digital distribution service with a vast community of gamers globally. A lot of gamers write reviews on the game page and have the option of choosing whether they would recommend this game to others or not. However, determining this sentiment automatically from the text can help Steam to automatically tag such reviews extracted from other forums across the internet and can help them better judge the popularity of games. Given the review text with user recommendation and other information related to each game for 64 game titles, the task is to create a test set by making a split from the training set and try to predict whether the reviewer recommended the game titles available in the test set on the basis of review text and other information.

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