Thumblicious: see the sites - viewing popular SENSEnews (Hakia) Home Visual bookmarking made easy Sentiment analysis In the last few months, sentiment has become the next big thing in enterprise content processing. Manning & Napier, an investment firm, funded a number of projects for its search and content processing system that could determine what the computer scientists call "polarity" and I call the positive and negative aspect of a document. A human can read a document and make a comment like, "This customer is really annoyed at our warranty program," or "We need to get this letter over to marketing because our customer is raving about our new product." Computers, as it turns out, can do a reasonably good job of determining the sentiment of a document or processing a large number of documents and providing a report that says, "Sixty-three percent of the messages about our service are positive." Social media's impact Sentiment analysis is one of the facets of text analytics that can discern the softer or intentional components of a report, an e-mail or other communication. Credibility rankings
Redis Zinkmo - IE Favorite and Firefox Bookmark Synchronization and Sharing Named graph A named graph Named graphs are a simple extension of the RDF data model[2] through which graphs can be created but the model lacks an effective means of distinguishing between them once published on the Web at large. Named graphs and HTTP[edit] One conceptualization of the Web is as a graph of document nodes identified with URIs and connected by hyperlink arcs which are expressed within the HTML documents. Describing a named graph Named graphs are a formalization of the intuitive idea that the contents of an RDF document (a graph) on the Web can be considered to be named by the URI of the document. Named graphs and RDF stores[edit] While named graphs may appear on the Web as simple linked documents (i.e. Example[edit] @prefix foaf: < . This data has been written in a more verbose form than necessary to show the triple structures The homepage of the person with the email address mailto:joe@example.org can be obtained using the SPARQL query: Formal definition[edit]
Apache Thrift Personal Start Page | Zeadoo AtomEnabled.org Explore ... Discover ... Play: Thing 66: Directory 2.0 The world of the new web can be daunting. Sometimes the information overload of the newest, shiniest sites can paralyze even the most veteran web user. There are two great sites out there that can help you navigate and organize your 2.0 and beyond journey. One of them preselects and organizes sites and one allows you to customize your 2.0 search portal experience. All My Faves contains a staggering number of icons arraigned by categories of Home, Entertainment, Kids, Shopping, Travel, and Weekly Faves. This site reminds me of Yahoo in the early days. 43 Marks also has a list of suggested read write web resources but displays they names not the icons. Discovery Exercises: 1) Go to both All My Faves and 43 Marks.