Project Overview
Online reviews significantly influence purchasing decisions. However, many businesses and individuals post fake reviews to manipulate ratings, mislead customers, or damage competitors' reputations.
In this project, we will build a Fake Review Detection System using Natural Language Processing (NLP) and Machine Learning. The model will analyze review text and predict whether a review is likely to be Real or Fake.
Throughout this project, we will learn how to clean textual data, convert text into numerical features, train a machine learning model, evaluate its performance, and use it to classify new reviews.
What You Will Learn
By completing this project, you will learn how to:
- Import and explore text datasets.
- Clean and preprocess textual data.
- Apply Natural Language Processing (NLP) techniques.
- Convert text into numerical vectors using TF-IDF.
- Train a Machine Learning classification model.
- Evaluate model performance using various metrics.
- Predict whether a new review is fake or genuine.
Fake Review Detection System using Machine Learning
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