fake-news-detection-nlp
所属分类：特征抽取
开发工具：HTML
文件大小：0KB
下载次数：0
上传日期：2023-12-04 21:03:19
上 传 者：
sh-1993
说明： 使用高级自然语言处理（NLP）技术检测和分类假新闻文章。这项工程是我国铁路建设的一部分...
(Detect and classify fake news articles using advanced natural language processing (NLP) techniques. This project, undertaken as part of my journey to build a career in data science, leverages TF-IDF vectorization and a Decision Tree Classifier to analyse news content for authenticity.)
文件列表:
Fake news detection using NLP.html (7699, 2023-12-05)
Fake news detection using NLP
# Overview
**Fake News Detection Using NLP** is a project that employs natural language processing (NLP) techniques to classify news articles as either genuine or fake. Leveraging machine learning with a Decision Tree Classifier, the project aims to contribute to the identification and prevention of misinformation.
### Key Features
- **NLP-Powered Classification:** Utilizes advanced NLP techniques for accurate classification.
- **TF-IDF Vectorization:** Converts text data into numerical features using TF-IDF vectorization.
- **Decision Tree Classifier:** Implements a Decision Tree Classifier for news article classification.
- **Model Serialization:** Saves and loads the trained model using the `pickle` module.
### Motivation
The project is motivated by the growing challenge of misinformation in the digital age. By developing a tool to automatically detect fake news, we aim to promote media literacy and combat the spread of false information.
### Technologies Used
- Python
- scikit-learn (for machine learning)
- Natural Language Toolkit (NLTK)
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