The main objective of this project is to analyze the sentiment and emotion of users based on the text they provide. This project utilizes a pre-trained model called Roberta, which has been trained on a vast collection of Twitter responses from users.
I have built an application using Streamlit, a Python library for creating interactive web applications. The application allows users to input text and obtain sentiment analysis results in real-time.
The Roberta model is a state-of-the-art language model that excels in understanding and analyzing textual data. It has been fine-tuned on Twitter data, making it particularly effective in capturing the nuances and sentiment expressed in short user responses.
- Sentiment Analysis: The application provides sentiment analysis, classifying text into positive, negative, or neutral sentiment categories.
This project utilizes the Roberta pre-trained model, which is made possible by the contributions of the Hugging Face. I express my gratitude to the creators and contributors of the Roberta model.