DeepSentiment En is a deep learning-based sentiment analysis project that classifies text into positive or negative sentiments using advanced natural language processing techniques (english language).
DeepSentiment leverages deep learning with LSTM layers to accurately classify text sentiments. The model is trained on a dataset with advanced preprocessing techniques, resulting in robust sentiment predictions.
To install the required dependencies, run the following command:
pip install -r requirements.txtFollow these steps to run DeepSentiment:
- Activate your venv
- Ensure dependencies are installed.
- Execute the sentiment analysis using the provided script.
py manage.py runserverThe dataset used for training DeepSentiment is sourced from Kaggle's "IMDb Dataset of 50K Movie Reviews." You can find the dataset here.