Stanford NLP has most of what you'd need out of the box. NLTK is way more popular though.Keep in mind the licenses (GPL vs Apache for NLTK) unless you've already bought the commercial license for Stanford.
The option of the different JVM scale out frameworks like akka,hadoop,storm etc have been amazing.
I would recommend NLTK for simpler tasks though.
We're working on an OSS Watson over at[3]:
that uses those components though. It's fairly easy to use different kinds of machine learning models for what you're looking for. Shoot me an email (in my profile) if you have any specific questions.
Comments
Stanford NLP has most of what you'd need out of the box. NLTK is way more popular though.Keep in mind the licenses (GPL vs Apache for NLTK) unless you've already bought the commercial license for Stanford.
I've built my own full stack http://www.alchemyapi.com/ using UIMA[1] and cleartk as a base though.
The option of the different JVM scale out frameworks like akka,hadoop,storm etc have been amazing.
I would recommend NLTK for simpler tasks though.
We're working on an OSS Watson over at[3]:
that uses those components though. It's fairly easy to use different kinds of machine learning models for what you're looking for. Shoot me an email (in my profile) if you have any specific questions.
[1] http://uima.apache.org/ [2] http://cleartk.googlecode.com/ [3] https://github.com/SolrSherlock/