title: Part of speech tagging and entity recognition - python
body: <p>I want to perform part of speech tagging and entity recognition in python similar to Maxent_POS_Tag_Annotator and Maxent_Entity_Annotator functions of openNLP in R.  I would prefer a code in python which takes input as textual sentence and gives output as different features- like number of "CC", number of "CD", number of "DT" etc.. CC, CD, DT are POS tags as used in Penn Treebank. So there should be 36 columns/features for POS tagging corresponding to 36 POS tags as in <a href="http://www.ling.upenn.edu/courses/Fall_2003/ling001/penn_treebank_pos.html" rel="nofollow">Penn Treebank POS</a>. I want to implement this on Azure ML "Execute Python Script" module and Azure ML supports python 2.7.7. I heard nltk in python may does the job, but I am a beginner on python. Any help would be appreciated. </p>