nawaz-kmr/Data_Extraction_and_Text_Analysis_for_Blackcoffer_company.
The objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables that are explained
This project helps you analyze website articles by extracting their main content and then performing a detailed text analysis. You provide a list of article URLs, and it returns a spreadsheet with sentiment scores, readability metrics, and word counts for each article. This is ideal for marketers, researchers, or content strategists who need to quickly derive insights from web-based textual data.
No commits in the last 6 months.
Use this if you need to extract specific article content from a list of URLs and then perform a standardized text analysis to understand sentiment, readability, and word characteristics.
Not ideal if you need to analyze non-article content, structured data from websites, or if you prefer manual data extraction and analysis.
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Last pushed
Jan 13, 2023
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/nawaz-kmr/Data_Extraction_and_Text_Analysis_for_Blackcoffer_company."
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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