IMDB Movie Reviews Sentiment Analysis

This repository contains code and resources for performing sentiment analysis on the IMDB Movie Reviews dataset. The goal is to classify movie reviews as either positive or negative based on the text of the reviews. The project leverages natural language processing (NLP) techniques, including the use of transformer-based models like BERT and LSTM networks, to build efficient sentiment classifiers.

Features

• Hybrid models
  • BERT + LSTM
  • BERT + LSTM + CNN
• Classifier models
  • RoBERTa-based classifier
  • SVM with RandomizedSearchCV
  • Multinomial Naive Bayes
  • Random Forest
• Word Embedding Techniques
  • TF-IDF
  • Word2Vec

Installation

To get started, follow these simple steps:

# Clone the repository
git clone https://github.com/your-username/nlp-model-repository.git