Pattern: A web mining & natural language processing system for Python
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Re: Pattern: A web mining & natural language processing system for Python
#2Here's a cool application - tagging negation and speculation clauses in some text (their demo has been trained on biomedical text):
Example sentence: When U937 cells were infected with HIV-1, no induction of NF-KB factor was detected, whereas high level of progeny virions was produced, suggesting that this factor was not required for viral replication.
Result: When U937 cells were infected with HIV-1 , [NEG0 no induction of NF-KB factor was detected NEG0] , whereas high level of progeny virions was produced , [SPEC2 suggesting that this factor was [NEG1 not required for viral replication NEG1] SPEC2] .
Re: Pattern: A web mining & natural language processing system for Python
#3Re: Pattern: A web mining & natural language processing system for Python
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#5Re: Pattern: A web mining & natural language processing system for Python
#6Analyze HN comments over time with some NLP techniques, maybe sentiment analysis. Then if the next wave of "HN is turning into Reddit" posts comes, point people to the analysis, whatever the conclusions are.
Seems like this would be well suited for the task. Any takers?
Re: Pattern: A web mining & natural language processing system for Python
#7Re: Pattern: A web mining & natural language processing system for Python
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#9Re: Pattern: A web mining & natural language processing system for Python
#10I don't know a whole lot about text analysis and the mentioned algorithms, can this be used to analyze articles and determine which are dealing with the same subject? Techmeme-ish? Or what would be a good starting point for this? (Or would this be better off in an 'Ask HN' post? I am one of those horrible new people on here.)