I have found these sources useful for learning and prototyping NLP: http://garysieling.com/blog/entity-recognition-with-scala-and-stanford-nlp-named-entity-rec

I have found these sources useful for learning and prototyping NLP: http://garysieling.com/blog/entity-recognition-with-scala-and-stanford-nlp-named-entity-recognizer http://garysieling.com/blog/entity-recognition-with-scala-an... http://tika.apache.org http://tika.apache.org NLTK is always a good starting point: http://www.nltk.org http://www.nltk.org I also wrote a 3-part article leveraging OpenNLP with Clojure: http://edeferia.blogspot.com/2015/03/from-natural-language-to-calendar.html http://edeferia.blogspot.com/2015/03/from-natural-language-t... If you're interesting in applying NLP without necessarily having theoretical background, wit.ai offers some really impressive features. Course also offers a good course: https://www.coursera.org/learn/natural-language-processing https://www.coursera.org/learn/natural-language-processing