Text Process Made Simple
September 17, 2013
Nothing involving text sees simple: lines of words that go on for miles, often without proper punctuation or any at all. It needs to be cataloged and organized and tagged, but no one really wants to do that task. That is why “TextBlob: Simplified Text Processing” was born. What exactly is TextBlob? Here is the description straight from TextBlob’s homepage:
“TextBlob is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, translation, and more.”
TextBlob is available for free download and has its own GitHub following. When it comes to installing the library, be aware that it relies on NLTK and pattern.en. Many of the features include: part-of-speech tagging, JSON serialization, word and phrase frequencies, n-grams, word inflection, tokenization, language translation and detection, noun phrase extraction, and sentiment analysis.
After downloading TextBlob, the Web site offers a comprehensive quick start guide for its users to understand how to implement and make the best usage out of the library. Free libraries make the open source community go around and improve ease of use for all users. If you use TextBlob, be sure to share any of your own libraries.
Whitney Grace, September 17, 2013
Sponsored by ArnoldIT.com, developer of Beyond Search
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