Fake-News
所属分类：数值算法/人工智能
开发工具：Python
文件大小：0KB
下载次数：0
上传日期：2024-04-06 07:04:21
上 传 者：
sh-1993
说明： 使用BERT模型进行假新闻分类，使用LightGBM进行分类。
(Fake news classification using BERT model and classification using LightGBM.)
文件列表:
Fake.csv
Practise.py
True.csv
# Fake News Detection
## Overview
This project aims to develop a Fake News Detection system using NLP techniques.It uses BERT for feature extraction and LightGBM for classification. The project combines the power of deep learning with BERT and the efficiency of gradient boosting with LightGBM to accurately classify news article as true or false.
## Requirements
1. Python 3
2. Libraries:
- pandas
- numpy
- transformers
- torch
- scikit-learn
- lightgbm
## Installation
1. Clone the repository
2. Install the required libraries
```c
pip install
```
## Usage
1. Download the dataset
2. Run the provided python script to train the model
3. After training the script will evaluate the model's performance using accuracy metrics
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