Comments (3)
The CanolaExtractor has been trained on Canola documents. Its main purpose is
to demonstrate the competitiveness of such a simple classifier (based on number
of words/densities) for the Canola corpus evaluation. I would not recommend it
for other purposes.
I'd recommend using ArticleExtractor for any type of news articles and
DefaultExtractor (or maybe LargestContentExtractor) for the rest. YMMV.
I have provided some [Benchmarks
http://code.google.com/p/boilerpipe/wiki/Benchmarks] on the L3S-GN1 news
corpus, as an initial starting point.
Original comment by ckkohl79
on 23 Feb 2011 at 8:09
from boilerpipe.
Original comment by ckkohl79
on 23 Feb 2011 at 8:10
- Added labels: Priority-Low, Type-Other
- Removed labels: Priority-Medium, Type-Defect
from boilerpipe.
Original comment by ckkohl79
on 6 Jul 2011 at 2:53
- Changed state: Done
from boilerpipe.
Related Issues (20)
- BoilerplateBlockFilter ignores labelToKeep
- [deleted issue]
- Program does not terminate for badly formatted/syntactically incorrect HTML input
- How to use boilerpipe to get some text with a hyperlink from the web page? HOT 1
- Incomplete extraction of text with special characters
- Server returned HTTP response code: 403 for URL (SOLVED) please use this codeline. HOT 2
- Limit the parsing depth of the html parsing to avoid out of memory situations HOT 1
- Extract article from non-english text HOT 1
- Missing Maven 1.2.0
- Xerces for andorid jar file needed HOT 2
- its not working for a news site HOT 1
- Incomplete extraction of article
- Fail to extract main content on some page, get footnote instead
- IllegalArgumentException for many web pages
- Missing ImageExtractor in downloabale 1.2 jar file
- Performance issues with UnicodeTokenizer
- Boilerpipe is conflicting with CyberNeko library HOT 1
- Unsupported content type: null HOT 1
- Different result when using Web Api and the source api?
- How to debug the result?
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