NLP Text Classification — Fake Review Detection

Developed an NLP-based text classification project to detect fake reviews using multiple machine learning and deep learning algorithms.

Implemented and compared:

- Logistic Regression — 90% accuracy

- Naive Bayes — 88% accuracy

- SVM — 91% accuracy

- Random Forest — 87% accuracy

- LSTM — 91% accuracy

The project included text preprocessing, feature extraction, model training, evaluation, and prediction of new review texts.