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Language Computer - Cicero On-Demand API The Cicero On-Demand provides a RESTful interface that wraps LCC's CiceroLite and other NLP components. This API is used for Cicero On-Demand whether the server is the one hosted at LCC or is run locally on your machine. You can access a free, rate-limited version online, as described below, at demo.languagecomputer.com. For more information on service plans, contact support. Following is a description of the REST calls, which are valid for both the hosted and local modes. Checking the server status

Multi-Lingual Text Analysis- A Plan To Action from #SMAS12 ‘80% of success is showing up’- Woody Allen He could have been referring to multi-lingual text analysis. Is that good news? It might be. The Stanford NLP (Natural Language Processing) Group About | Questions | Mailing lists | Download | Extensions | Models | Online demo | Release history | FAQ About Stanford NER is a Java implementation of a Named Entity Recognizer. Still Leading the Charge Towards Holistic Integration « Business Process Integration May 23, 2012 at 3:56 am Andy Griffin At Adeptia, we’ve been talking about holistic integration strategies for years. We’ve predicted the direction of the industry and have innovatively developed a product that addresses the most complex integration requirements in a single, holistic system.

For Academics - Sentiment140 - A Twitter Sentiment Analysis Tool Is the code open source? Unfortunately the code isn't open source. There are a few tutorials with open source code that have similar implementations to ours: Format Data file format has 6 fields:0 - the polarity of the tweet (0 = negative, 2 = neutral, 4 = positive)1 - the id of the tweet (2087)2 - the date of the tweet (Sat May 16 23:58:44 UTC 2009)3 - the query (lyx). If there is no query, then this value is NO_QUERY.4 - the user that tweeted (robotickilldozr)5 - the text of the tweet (Lyx is cool) If you use this data, please cite Sentiment140 as your source.

Integrating PLM and MES – Realizing the Digital Factory Tech-Clarity Insight Integrating PLM and MES – Realizing the Digital Factory expands the discussion on the roles that ERP and PLM play in manufacturing to include the role of Manufacturing Execution Systems (MES). The paper discusses the business need for integrating the solutions, automating the integrated product and production lifecycle, and closing the loop between designs and products. The report includes experiences shared through interviews with a leading aerospace manufacturer, a Siemens electronics plant, and ATK Space Systems. Please enjoy the free Executive Summary below, or click the report title above to download the full PDF (free of charge, no registration required). Table of Contents

API - Sentiment140 - A Twitter Sentiment Analysis Tool We provide APIs for classifying tweets. This allows you to integrate our sentiment analysis classifier into your site or product. Registration Microsoft Dynamics CRM 2011 + Help Desk Software = Customer Love Today, we’re excited to announce yet another CRM integration: Zendesk for Microsoft Dynamics CRM 2011 which will be joining our other CRM offerings including Salesforce and SugarCRM! At Zendesk, we believe in a connected organization. With sales and support as cornerstones of any organization, it is essential for both teams to have a holistic view of your customers and for your organization to closely track all customer interactions throughout the customer lifecycle. Zendesk for Microsoft Dynamics CRM provides a two-way help desk integration with new functionality that gives organizations a more accurate view of their customers, from sales to support, from within a single system.

Twitter sentiment analysis using Python and NLTK This post describes the implementation of sentiment analysis of tweets using Python and the natural language toolkit NLTK. The post also describes the internals of NLTK related to this implementation. Background The purpose of the implementation is to be able to automatically classify a tweet as a positive or negative tweet sentiment wise. The classifier needs to be trained and to do that, we need a list of manually classified tweets. Does the Bayesian Diet Call For Error-Statistical Supplements? « Error Statistics Philosophy Some of the recent comments to my May 20 post leads me to point us back to my earlier (April 15) post on dynamic dutch books, and continue where Howson left off: “And where does this conclusion leave the Bayesian theory? ….I claim that nothing valuable is lost by abandoning updating rules. The idea that the only updating policy sanctioned by the Bayesian theory is updating by conditionalization was untenable even on its own terms, since the learning of each conditioning proposition could not itself have been by conditionalization.”

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