• Rutuja Satpute
• Piya Kulkarni
• Rutuja Killedar

Major depression constitutes a serious challenge in personal and public health. We have seen different approaches about the study of mental disorders and there classification. These study includes approaches like using Reddit dataset and Manually created themes which are used to distinguish each reddit post and classify it into its appropriate theme by using elussificntion techniques like CNN ete, then this report also contains approach like Fuzzy logic. In this topic we conclude that we are able to detect as well as classify mental disorders. Which will be use full for our further studies that is Suicidal Activities and Threat Detection Criminal Activities Detection and Threat Analysis.We used Twitter as a reality data source, from where we found the suspicious posts and profiles after comparison with the predefined database using various processing techniques and NCD formula. These techniques separate suspicious posts from the Twitter dataset to reduce the crime rates. Different approaches were explored in order to come up with the best learning rate for the classifier, experiments on the two feature sets were conducted to find out which one would be more effective. Several experiments were conducted to know what the best learning rate for this study. Constant, inv scaling and adaptive learning rate were used for this study. The result showed that the inv-scaling learning rate was the most optimal among the three learning rates. In this research we focused on Twitter data and incorporate historical data from people with mental health problems. People with high risk of committing suicide. From the above writing we concluded that sentiment analysis of social media platforms like twitter can helps us to find and detect different kinds of threats and psychological disorders. By using sentiment analysis many crimes and suicidal activities can be stopped as well as information related to various companies can be exctracted through it.

OS, Twitter Dataset ,Python 3.7 orgreater,SVM algorithm,Naïve Bazyes.

"Psychological Disorders and Treats Detection Using Twitter Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.a672-a675, July-2022, Available :http://www.jetir.org/papers/JETIR2207083.pdf

"Psychological Disorders and Treats Detection Using Twitter Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppa672-a675, July-2022, Available at : http://www.jetir.org/papers/JETIR2207083.pdf