- Reference Paper: https://aclanthology.org/D14-1181.pdf
- Dataset Used: https://www.kaggle.com/datasets/bittlingmayer/amazonreviews
- Create virtual environment
virtualenv env
- Activate virtual environment
./env/Scripts/activate
- Installing dependancies
pip install -r requirements.txt
- This notebook is written for simple sentiment or text classification using CNN architecture
- Research paper can be found in the repository
- Dataset used is not from the research paper
- CNNs can be used for sentence classification by learning to identify local features in a sentence.
- CNNs can outperform previous state-of-the-art models on a number of sentence classification benchmarks.
- CNNs can learn task-specific features, which further improves performance.
- CNNs require a large corpus of labeled data for training.