I'm trying to find a method to mine sepecific informations in judicial decisions (judge's name, court, area of law and neutral citation number[canadian way to cite decisions uniformly across the country]).
I'm looking at NLP(nltk module for Python) but as a novice programmer I feel overwhelmed by the complexity of nlp.
This is an example of an html decision I would like to mine : https://www.canlii.org/en/ca/scc/doc/2007/2007scc4/2007scc4.html
The html metadatas are not formatted uniformly across the database of decisions and thus I cannot extract the necessary info automatically from a specific place in the html. Also, the html is not formatted in a standardised way.
The advantage of nltk is that it can really easily strip the html and output some text, but I have no idea how to mine in the text for the info I need.
I hope it's clearer now.