This project focuses on building a model to classify movie reviews as either positive or negative, based on a dataset of IMDB reviews. The goal of the project is to create a highly accurate classification model that can predict the sentiment of unseen movie reviews, with a target F1 score of at least 0.85.
sentiment_analysis.ipynb: The main Jupyter notebook containing data preprocessing, model training, evaluation, and results./datasets/imdb_reviews.tsv: Dataset used for training and evaluating the model.
- Clone the repository:
git clone https://github.com/mattfuller2/Machine-Learning-for-Texts---Project-14
- Install the required dependencies pip install -r requirements.txt
- Launch Jupyter Notebook jupyter notebook