📰 ArticleAnalyzer-NLP

ArticleAnalyzer-NLP is a Python-based Natural Language Processing (NLP) tool designed to extract, analyze, and report insights from online articles. It scrapes content from a list of URLs, processes each article for sentiment and readability metrics, and generates a detailed Excel report summarizing the analysis.

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📌 Features

• 🔗 Scrapes Articles: Fetches article content from provided URLs and saves it to local text files.
• 🧠 NLP Analysis:
  • Sentiment Analysis: Calculates positive, negative, polarity, and subjectivity scores.
  • Readability Metrics: Includes fog index, average sentence length, complex word ratio, etc.
  • Linguistic Features: Computes word count, average word/syllable length, and personal pronoun usage.
• 📤 Excel Export: Outputs the final analysis in a well-structured Excel (Output.xlsx) file.
• 📁 Modular Structure: Easily understandable functions for scraping, text processing, and reporting.

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📥 Input Format

Your Input.xlsx file should contain two columns:

URL_ID	URL
101	https://example.com/article-1
102	https://example.com/article-2

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🛠 Setup Instructions

git clone https://github.com/your-username/ArticleAnalyzer-NLP.git
cd ArticleAnalyzer-NLP
pip install -r requirements.txt
python text_analysis.py

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📃 License

• This project is licensed under the MIT License.

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🙋‍♂️ Author

Aman – Python NLP Enthusiast
Feel free to connect or follow:

• 🔗 LinkedIn
• 💻 GitHub

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