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How Can We Help You? Get the latest version: Free and Paid Licenses/DownloadsLearn how to use LingPipe: Tutorials Get expert help using LingPipe: Services Join us on Facebook What is LingPipe? LingPipe is tool kit for processing text using computational linguistics. LingPipe is used to do tasks like: Find the names of people, organizations or locations in newsAutomatically classify Twitter search results into categoriesSuggest correct spellings of queries To get a better idea of the range of possible LingPipe uses, visit our tutorials and sandbox. Architecture LingPipe's architecture is designed to be efficient, scalable, reusable, and robust. Latest Release: LingPipe 4.1.0 Intermediate Release The latest release of LingPipe is LingPipe 4.1.0, which is a feature release, as well as patching some bugs. Character, Token, and Document Suffix Arrays The largest addition in LingPipe 4.1 is suffix arrays. Serialization for Language Models TF/IDF Classifier Access Methods Line Tagging Parser Tests Fork

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Open Source Text Analytics by Seth Grimes 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. Processing Tweets with LingPipe #1: Search and CSV Data Structures « LingPipe Blog I have been focusing on teaching developers how to approach the challenges of computational linguistics. An interesting source to work with is Twitter since it is culturally relevant these days, fairly easy to work with from a data feed perspective and it is just so darned cute. Like many cute things, it is not long before it is eating your shoes, resisting toilet training and overall testing one’s patience.

Google Analytics Trick: See The Full Referring URL If you use Google Analytics to track your websites stats, you have probably realized that Google doesn’t let you see the full URL of the sites referring traffic to you. That’s a basic feature that somehow is not included in GA but fortunately for us, there is a simple trick you can implement to display the full URL of the referring site. Before I explain you this trick, let me give full credit to Ruben Yau for actually coming up with it. I also want to thank Ruben for replying to my comment/question on his blog so quickly. As stated above, Google Analytics doesn’t let you see from what specific page your visitors are coming. For example, instead of showing this as the traffic referrer:

Цикл надочікувань 2012 — Гартнер визначила рівень зрілості понад 1900 нових технологій Gartner's 2012 Hype Cycle for Emerging Technologies Identifies "Tipping Point" Technologies That Will Unlock Long-Awaited Technology Scenarios 2012 Hype Cycle Special Report Evaluates the Maturity of More Than 1,900 Technologies Gartner to Host Complimentary Webinar "Emerging Technologies Hype Cycle: What's Hot for 2012 to 2013," Today at 10 a.m. EDT and 1 p.m.

Content Manager Submitted by Anonymous on Mon, 04/14/2008 - 15:49. For a general overview of Calais please take a moment to read the About section. If you’d just like to jump in and learn how Calais is relevant to developers, read on. Content and Collection Management claudio martella In the past, I’ve written about Google Pregel. At the time, as it was quite obvious, there was no implementation of anything like Pregel out there of any kind, not to mention Open Source. Now things have changed, so I’d like to give a quick list of the projects out there that might help you getting started with this technology, as I see that very often people ask what the difference is between all of them. I have direct experience only with the Java implementations, so I can talk about them a bit more extensively. As you remember from my last post, Pregel is a framework for large-scale graph processing that builds on top of the BSP computational model. It allows the developer to write a vertex-centric algorithm for graph processing (meaning you write a function that receives messages from vertices and sends messages to other vertices) and forget about things as distribution and fault-tolerance.

Zero Intelligence Agents This happens to be one of those rare instances where the benefit of hindsight does not make me regret something said flippantly on a panel. I deeply believe that in order to truly change the world we cannot simply "throw analytics at the problem." To that end, the medical and health industries are perhaps the most primed to be disrupted by data and analytics. If you want to leverage the actual meaning of content in your application, you need OpenAmplify. OpenAmplify is the most advanced NLP text analysis engine currently available, processing content submitted to the API in milliseconds to deliver a comprehensive range of analysis 'Signals' in a rich XML schema. OpenAmplify delivers so much more than just sentiment analysis: the Insights API presents the entire meaning of the text as XML and is the only API that can deliver you: The topics and entities being discussedDomains, categories and classificationsSentiment: at both the topic and whole text levelActions: what is happeningIntent: what the author is planningDecisiveness: how sure the author is about the actionsEmotions: the passion the author has for the topics being discussedTopic Descriptions: those terms that drive the sentiment scoring Easy to Integrate and Free to Try

What is Google Consumer Surveys? - Consumer Surveys Help What is Google Consumer Surveys Google Consumer Surveys is a market research tool that allows market researchers to easily create online surveys in order to help make more informed business decisions. Users complete survey questions in order to access high quality content around the web, and publishers get paid as their users answer. For the Google Opinion Rewards App, those users complete questions to get Google Play credits. Google automatically analyzes responses, providing the data back to market researchers through a simple online interface. Where do my survey responses go? Entity Extraction Named entities specify things such as persons, places and organizations. AlchemyAPI's named entity extraction is capable of identifying people, companies, organizations, cities, geographic features and other typed entities from your HTML, text or web-based content. Entity extraction can add a wealth of semantic knowledge to your content to help you quickly understand the subject of the text. It is one of the most common starting points for using natural language processing techniques to enrich your content. AlchemyAPI's named entity extraction is based on sophisticated statistical algorithms and natural language processing technology.