The main purpose of the project is to find out if a person is stressed or not buy analyze his/her tweets we can predict how much he or she is stressed by analyzing how many tweets they posted.Positively and negatively they are We need to upload the users tweets in csv format, and now the python program will analyze the data and tokenize the data After that, by using "word cloud" we represent the data tokenized.Data in a visual format so that the user can easily understand how much he/she used positive and negative words Now we represent the analyzed data in a graphical format and by Training and testing the data we generate the output 1 and 0 if its 1 He is likely to be in stress; if it's 0, he is not in stress.
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Use of Social Networking Sites (SNS) and prevalence of anxiety and depression among the young population is on the rise. Millions of users share opinions on different aspects of life every day. The online medium has become a significant way for people to express their opinions and with social media, there is an abundance of opinion information a…
ajansha/SOCIAL-ANXIETY-DETECTION-USING-NEURAL-NETWORKS
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Use of Social Networking Sites (SNS) and prevalence of anxiety and depression among the young population is on the rise. Millions of users share opinions on different aspects of life every day. The online medium has become a significant way for people to express their opinions and with social media, there is an abundance of opinion information a…
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