posted 11 years ago
I am currently working on a Resume Analyzer which is supposed to analyze resumes, extract useful information like personal details, experience, achievements, skills, etc from the resume and parse an XML file with this data and later use such XML files to compare people and suggest the best person for the job.
The problem i am having is in extracting useful data from the text. I thought that NLP would be good for it and searched for it.
I got puzzled due to lot of API's like:
-Stanford Parser
-Stanford POS Tagger
-OpenNLP
-Mallet
-Gate
-LingPipe
-MinorThread
Since I am new to NLP, can someone suggest that which API would be most useful and best for my task?
Thanks