nlp

Just recently (last night), Steven Loria updated TextBlob to v0.5.0. The module enabled a relatively easy way to do Natural Language Processing in Python. NLTK is a dependency so it’s familiar turfs with an easier getting started part. Based on this, I did also did an easy way to parse a set of words and documents to measure important keywords based on TF-IDF algorithm. A few minutes ago I uploaded the module to PyPi and tagged it as v0. [Read More]

Last night, I read about James Moriss’ blog post on how to gain more followers by favoriting other tweets relevant to your own tweets or some other keywords you are interested in. The downside was, you still have to input the keywords yourself. So I hacked up some codes let the codes figure out what keywords are proper. My first try into Python’s NLTK. WARNING: The codes below are not production ready codes. [Read More]