Emotion Classification and Intensity Prediction using Hybrid Deep Learning Models
Vishal Kumar Jain, Mahesh Parmar · 2022 International Conference on Edge Computing and Applications (ICECAA) · 2022
The study of people’s feelings, emotions, and opinions toward a specific event or issue is known as sentiment analysis. Individuals can utilize social media to share their views and opinions on any subject or issue, resulting in massive amounts of unstructured data. By processing and evaluating these feelings, you can get insights and understand them. Multiple Machine Learning (ML) based approaches were used to study various points of view. Due to changes in the sequential order, stream lengths, and advanced logic, determining the exact thoughts expressed in the consumer comments is still difficult. This paper proposed the emotion analysis model by Vectorizing all the training data and creating hybrid models with the Conv 1D model with the LSTM model. The proposed outcomes show outstanding performance as compared to the other base models.