tag:blogger.com,1999:blog-19803222.post928704673462621954..comments2024-03-18T01:45:45.724-06:00Comments on natural language processing blog: Coordinate ascent and inverted indices...halhttp://www.blogger.com/profile/02162908373916390369noreply@blogger.comBlogger8125tag:blogger.com,1999:blog-19803222.post-2856515117122325922010-07-26T10:03:08.876-06:002010-07-26T10:03:08.876-06:00Social Media is big, but are there semantic tools ...Social Media is big, but are there semantic tools to monitor them?<br /><br />Not too long ago a series of reputation disasters aided and abetted by social media have seriously affected Tiger Woods, Toyota, Lebron James, Mel Gibson, BP, and assorted other businesses, entertainment figures and politicians. The noise level woke some people up. Needless to say, Google’s recent purchase of MetaWeb, and the booming business of “Social Business Software” are indicators that monitoring social media is a growing trend with business opportunities to meet the thrust of semantic tools to be put in hands of enterprises that enable them to monitor their brands, reputation, and other influences. It is estimated that text analytical industry to be growing by 25% Y-O-Y based on an estimate made by Seth Grimes, Text Analytics Conference Chair, in an article http://www.b-eye-network.com/channels/1394/view/12638 .<br /><br />Semantic Tool that works.<br /><br />Ctrl is a library with an API that can be used to extract metadata (key topics, and entities) of any textual document, to generate a document summary, and to index and retrieve documents by topics as opposed to key words.<br /><br />Ctrl can be used in several domains for different purposes (besides the obvious application in search). For instance, in the news industry Ctrl provides a tool to automatically generate the ‘story highlights’, categorize and index any article based on its topics, and recommend related stories. This in turn helps both internal and external (users) in the retrieval of related documents for any required topic; it further allows automatic data push (could be in the form of RSS Feeds) for user‐selected topics. <br /><br />In this context, Ctrl can be used in effective targeted marketing since users are retrieving highly relevant information that exactly matches their topics of interest. Ctrl can also be the new standard in the business intelligence industry for intelligent topic‐based enterprise search. Its ability to provide relevant documents based on topics is a daily need in large corporations. The various solutions that are currently employed in the industry are quite costly and are time‐ and error-prone since they rely on expert topic (or meta‐data) engineering for effective performance. In the Intelligence community, Ctrl means cutting time and cost that is being spent on processing a huge number of documents ‘manually’ searching for relevant information about specific topics, since the identification of topics (and more importantly, the identification of the key topics) is the most important differentiator between Ctrl and existing systems. Other applications can be developed around Ctrl’s API functionality to service several other fields especially when integrated with existing software (e.g., database systems, desktop and document management tools, etc.)<br />The accuracy of Ctrl's WSD algorithm in inferring the most likely meaning of a word in some context is above 80%, and, as far as we know, this accuracy rate is by far much higher than any WSD results that have been reported in the computational linguistics research.<br /><br />Ctrl give words meanings, including names of things. To do so basic reference resolution and entity identification has to be performed. Names of people, organizations, movies, etc. are not therefore just words and phrases, but are full-fledged concepts that can be related to and matched with other concepts and topics. Thus, while the sentence “popularity of former NY Yankees slugger Babe Ruth” is not at all related to “Dr. Ruth popularity in NY”, there is clearly some semantic relation between “US President Barak Obama” and “German Chancellor Angela Merkel” (due, among other things, to the semantic relationship between ‘Barak Obama’ and ‘Chancellor’, for example). Read more: http://ctrl.pragma-tech.com<br /><br />Now you can try it yourself! If you would like to receive an invitation to test ctrl online, please visit this link below: <br />http://ctrl.pragma-tech.com/DemosInvitation.aspxAnonymoushttps://www.blogger.com/profile/05241733984332326531noreply@blogger.comtag:blogger.com,1999:blog-19803222.post-62890997048381259862010-07-14T02:32:27.768-06:002010-07-14T02:32:27.768-06:00I like your article, really interesting! My point ...I like your article, really interesting! 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