This is a Deep Learning based approach to classify the emotion of a textual utterance given its two previous turns of context. Happy, Sad, and Angry are the main emotion classes to be considered. The main objective of the project is to propose an effective and efficient model to analyze the emotions in conversational texts. The solution contains 3 main components such as pre-processing, word embedding, and classification.
Link to Paper - https://ieeexplore.ieee.org/abstract/document/9325442
Team Members - Jarsigan Vickneswaran, Piruntha Navanesan
