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Sentiment analyser ML project

Open garimasingh128 opened this issue 4 years ago β€’ 3 comments

A sentiment analyzer learns about various sentiments behind a content through machine learning and predicts the same using AI. By creating an ML system that would analyze the sentiment behind texts, or a post, it might become so a lot easier for organizations to know and understand their consumer behavior better. Twitter data is taken into account as an ultimate entry point for beginners to practice sentiment analysis machine learning problems. Using Twitter datasets, one can get a charismatic combination of tweet contents and other related metadata such as hashtags, location, retweets, users, and many more which pave way for insightful analysis. The foremost problem that you can start working on as a beginner is to build a model to classify users’ profile photos as sad happy or neutral.

garimasingh128 avatar Sep 15 '20 13:09 garimasingh128

Issue-Label Bot is automatically applying the label feature_request to this issue, with a confidence of 0.65. Please mark this comment with :thumbsup: or :thumbsdown: to give our bot feedback!

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issue-label-bot[bot] avatar Sep 15 '20 13:09 issue-label-bot[bot]

I am going to start my work, please assign to me

anut123 avatar Sep 15 '20 13:09 anut123

Can you also assign this issue to me as I am reading about it , so it would be great

ayushsurana710 avatar Dec 18 '20 19:12 ayushsurana710