# newspaperV3
An advanced library for news extraction, article parsing, and content analysis. This is a fork/version based on the original `newspaper` library by Lucas Ou-Yang.
## Installation
Install the package using pip:
```bash
pip install newspaperV3
```
## Basic Usage
Here's a simple example of how to download and parse an article:
```python
from newspaperV3 import Article
import nltk
# NLTK data is required for the first run
# nltk.download('punkt')
url = 'https://www.cnn.com/2023/11/15/politics/us-china-meeting-biden-xi/index.html'
# Create an Article object
article = Article(url)
# Download and parse the article
article.download()
article.parse()
# Perform Natural Language Processing (NLP)
article.nlp()
# Print the results
print("Title:", article.title)
print("Authors:", article.authors)
print("Publish Date:", article.publish_date)
print("Top Image:", article.top_image)
print("\nSummary:")
print(article.summary)
print("\nKeywords:", article.keywords)
```
## Features
* **Article Extraction** : Automatically extract clean article text from web pages
* **Metadata Parsing** : Extract titles, authors, publication dates, and images
* **Natural Language Processing** : Generate summaries and extract keywords
* **Multi-language Support** : Process articles in various languages
* **Image Processing** : Extract and analyze article images
* **Content Analysis** : Advanced text processing and analysis capabilities
## Requirements
* Python 3.6+
* NLTK (for natural language processing)
* Additional dependencies installed automatically
## License
This project is licensed under the MIT License.
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"description": "# newspaperV3\n\nAn advanced library for news extraction, article parsing, and content analysis. This is a fork/version based on the original `newspaper` library by Lucas Ou-Yang.\n\n## Installation\n\nInstall the package using pip:\n\n```bash\npip install newspaperV3\n```\n\n## Basic Usage\n\nHere's a simple example of how to download and parse an article:\n\n```python\nfrom newspaperV3 import Article\nimport nltk\n\n# NLTK data is required for the first run\n# nltk.download('punkt')\n\nurl = 'https://www.cnn.com/2023/11/15/politics/us-china-meeting-biden-xi/index.html'\n\n# Create an Article object\narticle = Article(url)\n\n# Download and parse the article\narticle.download()\narticle.parse()\n\n# Perform Natural Language Processing (NLP)\narticle.nlp()\n\n# Print the results\nprint(\"Title:\", article.title)\nprint(\"Authors:\", article.authors)\nprint(\"Publish Date:\", article.publish_date)\nprint(\"Top Image:\", article.top_image)\nprint(\"\\nSummary:\")\nprint(article.summary)\nprint(\"\\nKeywords:\", article.keywords)\n```\n\n## Features\n\n* **Article Extraction** : Automatically extract clean article text from web pages\n* **Metadata Parsing** : Extract titles, authors, publication dates, and images\n* **Natural Language Processing** : Generate summaries and extract keywords\n* **Multi-language Support** : Process articles in various languages\n* **Image Processing** : Extract and analyze article images\n* **Content Analysis** : Advanced text processing and analysis capabilities\n\n## Requirements\n\n* Python 3.6+\n* NLTK (for natural language processing)\n* Additional dependencies installed automatically\n\n## License\n\nThis project is licensed under the MIT License.\n",
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