Can we Predict the Tweet Based on the Message

Author

Ramesh Byali , Jyothi , Megha Chidambar Shekadar

Abstract

In today’s fast generation countless people are laid low with one or over one mental disorder supported their thinking and way of they behave.in such reasonably situations they'll post their current situation on social media like Facebook, WhatsApp, twitter. Their messages tell us their psychological state. The detection of mental disorders should be wiped out time. But this is often not really easy and it's a awfully challenging task. there'll be a prospect to beat from the disorder before it is resulting in crucial condition. there's an answer to beat from this i.e., we've to observe carefully their behaviour and the way they're visiting express their feelings. during this paper we express three varieties of representations those are positive, depression and anger by using Naïve bayes algorithm, SVM, Decision tree classifier, Random Forest, Logistic regression classifier and KNN algorithm

Keywords

Rescue bag, Rescue techniques, Borewell rescue, Child safety

DOI : https://doi.org/10.55248/gengpi.2022.3.8.3

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References

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