A modern SEO Analyzer Web App built with React and Node.js that leverages TextRazor API for intelligent keyword extraction, readability scoring, and content optimization suggestions. Features include keyword density analysis, content statistics, and real-time SEO recommendations.

This repository contains a Python script for webscraping articles and performing sentiment analysis, readability analysis, and other textual data analysis tasks. The analyzed data is then saved into an Excel file using the NLTK toolkit, Pandas, and regex.

This project leverages Natural Language Processing (NLP) techniques to analyze the sentiment expressed in web content, providing insights into overall sentiment polarity, subjectivity, and readability of overall content.

R package : assess & monitor programming projects with standardized metrics

spaCy-based CLI for web linguistic analysis with embeddings, sentiment, POS/NER, and Unix pipeline composability. Outputs JSON, Parquet, CoNLL-U for ML workflows.

🔍 Analyze webpage SEO effectively with the Ultimate SEO Analyzer API. Get insights on metadata, links, images, and scores to optimize performance.