Algorithms for named entity recognition
analysis, extract, named-entity-recognition, php, python
Solution
To start with check out http://www.nltk.org/ if you plan working with python although as far as I know the code isn't "industrial strength" but it will get you started.
Check out section 7.5 from http://nltk.googlecode.com/svn/trunk/doc/book/ch07.html but to understand the algorithms you probably will have to read through a lot of the book.
Also check this out http://nlp.stanford.edu/software/CRF-NER.shtml. It's done with java,
NER isn't an easy subject and probably nobody will tell you "this is the best algorithm", most of them have their pro/cons.
My 0.05 of a dollar.
Cheers,
Problem
I would like to use named entity recognition (NER) to find adequate tags for texts in a database. I know there is a Wikipedia article about this and lots of other pages describing NER, I would preferably hear something about this topic from you: - What experiences did you make with the various algorithms? - Which algorithm would you recommend? - Which algorithm is the easiest to implement (PHP/Python)? - How to the algorithms work? Is manual training necessary? Example: "Last year, I was in London where I saw Barack Obama." => Tags: London, Barack Obama I hope you can help me. Thank you very much in advance!