Named Entity Recognition from personal Gazetter using Python
I haven't used NLTK enough recently, but if you have words that you know are skills, you don't need to do NER- just a text search.
Maybe use Lucene or some other search library to find the text, and then annotate it? That's a lot of work but if you are working with a lot of data that might be ok. Alternatively, you could hack together a regex search which will be slower but probably work ok for smaller amounts of data and will be much easier to implement.
I try to do named entity recognition in python using NLTK.
I want to extract personal list of skills.
I have the list of skills and would like to search them in requisition and tag the skills.
I noticed that NLTK has NER tag for predefine tags like Person, Location etc.
Is there a external gazetter tagger in Python I can use?
any idea how to do it more sophisticated than search of terms ( sometimes multi words term )?
Thanks,
Assaf