Comprehensive-Text-Extraction-and-Analysis-for-Article-Metrics

This project extracts and analyzes textual data from given URLs using BeautifulSoup and NLTK. It performs sentiment analysis, word complexity assessment, and calculates average word length, saving results in text and CSV formats.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mParthSaharanf%2FComprehensive-Text-Extraction-and-Analysis-for-Article-Metrics

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 38.3 MB
Dependencies parsed at: Pending

Created at: 10 months ago
Updated at: 10 months ago
Pushed at: 10 months ago
Last synced at: 10 months ago

Topics: complexity-analysis, data-extraction, machine-learning, natural-language-processing, sentiment-analysis, text-preprocessing

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GitHub / mParthSaharanf / Comprehensive-Text-Extraction-and-Analysis-for-Article-Metrics