https://github.com/ebadshabbir/hotel_review
https://github.com/ebadshabbir/hotel_review
Last synced: 7 months ago
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- Host: GitHub
- URL: https://github.com/ebadshabbir/hotel_review
- Owner: EbadShabbir
- Created: 2024-11-19T17:28:33.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-11-19T17:35:45.000Z (11 months ago)
- Last Synced: 2025-02-03T10:34:19.242Z (9 months ago)
- Language: Jupyter Notebook
- Size: 60.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Deceptive Opinion Detection Using SVM
This project focuses on detecting deceptive opinions using Support Vector Machines (SVM) with text data. The dataset is preprocessed, vectorized using TF-IDF, and classified using a linear SVM model.
---
## Table of Contents
1. [Overview](#overview)
2. [Dataset](#dataset)
3. [Installation](#installation)
---
## Overview
Deceptive opinion detection is a critical task in natural language processing. This repository implements a supervised machine learning pipeline to classify text as deceptive or truthful using the following steps:
- Data preprocessing (lowercasing, punctuation removal)
- Text vectorization using TF-IDF
- Classification using Support Vector Machines (SVM)
- Evaluation through accuracy, classification report, and confusion matrix
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## Dataset
The dataset used for this project can be found in the file `deceptive-opinion.csv`. It contains the following columns:
- `text`: The text data to classify.
- `deceptive`: The target label (e.g., deceptive or truthful).
Ensure the dataset is placed in the directory `/kaggle/input/deception-opinion/` or adjust the path in the code accordingly.
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## Installation
Clone this repository and install the required libraries:
```bash
git clone
cd
pip install -r requirements.txt