Final Project ITI: Sentiment Analysis on IMDB Movie Reviews

? Final Project ITI: Sentiment Analysis on IMDB Movie Reviews ?

? Description

This project is a Sentiment Analysis model built using Deep Learning and Natural Language Processing (NLP).

It classifies IMDB movie reviews as either Positive ? or Negative ?.

The project demonstrates:

Text preprocessing

Feature extraction (TF-IDF / Word Embeddings)

Training a Neural Network using TensorFlow/Keras

? Objective

Build a deep learning model that classifies IMDB movie reviews (positive/negative).

Apply text preprocessing (cleaning, stopwords removal, stemming, lemmatization).

Compare feature extraction methods (TF-IDF vs Embeddings).

Train and evaluate a neural network for sentiment classification.