headline-sentiment-analysis
所属分类：自然语言处理
开发工具：Jupyter Notebook
文件大小：0KB
下载次数：0
上传日期：2023-12-26 18:40:39
上 传 者：
sh-1993
说明： Headline Sentiment Analysis是一个Python脚本，它从BBC新闻RSS提要中获取新闻标题，使用TextBlob执行情感分析，并可视化情感分布。该脚本演示了如何使用网络抓取、自然语言处理和数据可视化来深入了解新闻标题的情绪。
(Headline Sentiment Analysis is a Python script that fetches news headlines from the BBC News RSS feed, performs sentiment analysis using TextBlob, and visualizes the sentiment distribution. The script demonstrates how to use web scraping, natural language processing, and data visualization to gain insights into the sentiment of news headlines.)
文件列表:
NewsHeadlineSentimentGauge.ipynb
# Headline Sentiment Analysis
Headline Sentiment Analysis is a Python project that fetches news headlines from the BBC News RSS feed, performs sentiment analysis using TextBlob, and visualizes the sentiment distribution. The project demonstrates how to use web scraping, natural language processing, and data visualization to gain insights into the sentiment of news headlines.
## Features
- Fetches headlines from the BBC News RSS feed.
- Analyzes sentiment using the TextBlob library.
- Prints sentiment analysis results, including positive, neutral, and negative counts.
- Visualizes sentiment distribution with a pie chart using Matplotlib.
## Prerequisites
Before running the project, make sure you have the following dependencies installed:
- `requests`
- `feedparser`
- `textblob`
- `matplotlib`
You can install these dependencies using the following command:
```bash
pip install requests feedparser textblob matplotlib
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