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[ UUID ] 3e6d651f-2f8e-4bd5-8a45-b81d1b0caa72
[ Session Name ] ML based Emotion Analysis of a Person based on Chat History [ Primary Space ] Web Literacy [ Secondary Space ] Openness
[ Submitter's Name ] Auravindhan GCS [ Submitter's Affiliated Organisation ] Coffee
[ Other Facilitator 1's Name ] Gaurav G Punjabi [ Other Facilitator 1's GitHub ] @GauravG8
What will happen in your session?
Participants will get to understand and work with an ML model to analyze the chat history between two people to identify the state and the emotional characteristics of the people in the conversation. Participants will learn to identify the key emotions: happy, sad, neutral, angry and scared (for this case).
Participants will feed in a sample chat data into the model and mark key identifiers of emotion to train the model. Further, participants will get to manipulate the model and enhance its perception of the emotion identifiers.
What is the goal or outcome of your session?
The goal of the session is for the better understanding of the emotional and psychological state of a person based on chatting behavior. Participants will also get an understanding of how emotion analysis work and also the applications of the same for identification and analysis of a person's emotional state. Additionally, this application can also contribute to the analysis of mental health of a person at the different stages of life.
If your session requires additional materials or electronic equipment, please outline your needs.
A Projector and a white board (or any board as long as we can use it to write on and explain)
Time needed
90 mins