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Scoring Mechanism to Quantify Different Emotions

Author: Madhumitha Sivaraj
Lab: Deep Data Lab
Advisor: Dr. Gerard DeMelo
Semester: Spring 2020

Corresponding paper can be found here.

Description

Empathy is a central part of our lives and leads to communication and cooperation, transcending social interactions, behaviors, and well-being. An AI system with a capacity for empathy could provide more natural interactions while making judgments that take moods and feelings into account. I built a scoring mechanism to quantify different emotions based on data-driven methods, including word vectors and corpora. Inspired by Linguistic Inquiry and Word Count, I created a system to score various Amazon reviews on a scale of 0 to 1 for all relevant categories from the comprehensive list in the default LIWC2015 dictionary.

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Requires Jupyter Notebook to run.

python3 -m notebook

Run scoring_mechanism.ipynb file.

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