Скачать или смотреть Deep Learning Assignment - Sentimental Analysis

In today’s digital world, millions of users express their emotions and opinions through social media platforms like Twitter. Analyzing these tweets helps understand the overall sentiment of the public toward various topics such as politics, products, and events.
This project focuses on sentiment analysis — classifying tweets as positive or negative — using the Sentiment140 dataset.
It is a supervised text classification problem, where we train deep learning models to automatically detect the sentiment expressed in a tweet.
The main objective is to compare the performance of different neural architectures including BiLSTM, CNN, RNN, GRU, and GNN, to identify which performs best for this task.