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Machine-Learning-for-Texts---Project-14

Movie Review Sentiment Classification

Overview

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.

Files

  • 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.

Installation

  1. Clone the repository:
    git clone https://github.com/mattfuller2/Machine-Learning-for-Texts---Project-14
  2. Install the required dependencies pip install -r requirements.txt
  3. Launch Jupyter Notebook jupyter notebook

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