nn-search2 is a part-of-speech tagging and text search utility based on NLTK, TextBlob and matplotlib. It uses state-of-the-art POS-tagger based on Averaged Perceptron which provides fast and accurate results. One of the main nn-search2 features is full text part-of-speech search. Basically, you can search text using word's part-of-speech tag like (NN -- noun, VB -- verb, JJ -- adjective, etc.). Part-of-speech search query can include word ranges such that you can find chains of nouns, verbs, adjectives and fixed expressions using fairly simple query syntax: "the"DT "old"JJ{2} "oak"NN{1}. In addition, nn-search2 can do basic text analysis such as determining lexical diversity, subjectivity and polarity of the given text and generate nice-looking POS-tag distribution plots (see the screenshots below).
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