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ML-based HTML scraper that learns extraction rules from examples
...This approach simplifies web scraping tasks by shifting the focus from rule-writing to example-based training. Internally, the project processes HTML documents, identifies relevant elements in the DOM, and builds extraction logic based on statistical or heuristic analysis of the training samples. The result is a developer-oriented tool that aims to automate common scraping workflows.
news headline collecting for analysis in determining the category
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- Each news headline is matched against Google News category like Entertainment, Sports, etc.
- Called from scheduler to collect this data at 5 minutes interval and be accumulated in a database.
- It contains R statistical computing scripts to learn the pattern on words in the headline resulting a particular category.
- To test its accuracy in predicting the category from a news headline, select a news title from other sources - e.g. http://rss.news.yahoo.com/rss/entertainment - and incorporate it into the R script for outputting a news category it assumes on the news title.