CREATIVE VILLAGE ORLANDO. Big data. HTML5. 5 Myths of Predictive Analytics. Performance Measurement – Common Causes/Risk, Skill and Luck, Pa. Visualize your LinkedIn network. Broadcast Yourself. Les Misérables Force. Advanced Analytics Predictions For 2010. BeyeNETWORK: Open Source Text Analytics. Open source is a great choice for many text analytics users, especially folks who have programming skills, who need custom capabilities or who are trying to get a feel for possibilities before committing themselves. Excellent options are available for all these users. Tools such as Gate, NLTK, R and RapidMiner share the low cost, power, flexibility and community that have driven adoptionof open-source software by individual users and enterprises alike. RapidMiner even combines text processing with business intelligence (BI) and visualization functions. This article will look at open source text analytics, focusing on those four tools.
(UIMA, the open source Unstructured Information Management Architecture, is a rich topic in itself, one that merits its own article.) Be warned, however, that just as in other IT domains, open source text technologies are not for everyone. Not Just for Programmers Gate is an ace at information extraction (IE). For Data Miners Conclusion.