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Web Curator Tool. Subject Areas Home. Create. NodeXL: Network Overview, Discovery and Exploration for Excel. 4 Promising Curation Tools That Help Make Sense of the Web. Steven Rosenbaum is a curator, author, filmmaker and entrepreneur.
He is the CEO of Magnify.net, a real-time video curation engine for publishers, brands, and websites. His book Curation Nation is slated to be published this spring by McGrawHill Business. As the volume of content swirling around the web continues to grow, we're finding ourselves drowning in a deluge of data.
Where is the relevant material? Where are the best columns and content offerings? The solution on the horizon is curation. In the past 90 days alone, there has been an explosion of new software offerings that are the early leaders in the curation tools category. 1. Storify co-founder Burt Herman worked as a reporter for the Associated Press during a 12-year career, six of those in news management as a bureau chief and supervising correspondent. At the AP, editors sending messages to reporters asking them to do a story would regularly write, “Can u pls storify?”
Storify is currently invite only. 2. 3. 4. Conclusion. Powerful tool for creating web surveys. Online survey software made easy! SurveyMonkey™ Thanks for completing this survey.Now create your own—it's free, quick & easy!
Create free surveys in just a few minutes Ask questions in over 15 formats(configured for you and ready to go!) Get answers to any type of question Register with SurveyMonkey today! Sign Up FREE » The Next Big Thing: Content Curation. Data Mining, Text Mining and Predictive Analytics Software. Webcast Predictive Analytics Introduction to text mining Data Mining is the differentiator.
Some have labeled the current period, appropriately, as “The Age of Analytics,” a period in which the information age has led us to the application of analytics to derive insights from these incredible sources of data. At StatSoft, we have the opportunity to collaborate with, consult, and train colleagues in the areas of data analysis and predictive modeling in a variety of industries: automotive manufacturing, financial services, medical device manufacturing, pharmaceutical R&D and manufacturing, semiconductors, etc.
Moreover, if you are collecting large amounts of data, or Big Data, the Data Mining Solution can accommodate those needs as shown in the following example. STATISTICA Solution STATISTICA Text Miner is an optional extension of STATISTICA Data Miner, ideal for translating unstructured text data into meaningful information. Services (Consulting, Training) Information about Data Mining Methods. Text Mining. Text Mining Introductory Overview The purpose of Text Mining is to process unstructured (textual) information, extract meaningful numeric indices from the text, and, thus, make the information contained in the text accessible to the various data mining (statistical and machine learning) algorithms.
Information can be extracted to derive summaries for the words contained in the documents or to compute summaries for the documents based on the words contained in them. Hence, you can analyze words, clusters of words used in documents, etc., or you could analyze documents and determine similarities between them or how they are related to other variables of interest in the data mining project. In the most general terms, text mining will "turn text into numbers" (meaningful indices), which can then be incorporated in other analyses such as predictive data mining projects, the application of unsupervised learning methods (clustering), etc. Typical Applications for Text Mining Log-frequencies. AlchemyAPI - Transforming Text Into Knowledge.
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