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StatSoft uploaded a new video
(2 months ago)
In this case study, fraud detection models are built using the structured variables and provide a good predictive model, finding fraudulent claims....
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In this case study, fraud detection models are built using the structured variables and provide a good predictive model, finding fraudulent claims. Then with the aid of STATISTICA Text Miner, the notes for each claim were indexed and the results were added to the predictive variable pool. Predictive models built with the added text mining results gave a 10% improvement in finding fraudulent claims.
The video, Comparing Performance across Models from the Introduction to Data Mining video series (http://youtu.be/E93d8DbtNn4), may also be of interest to those who watch this video.
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StatSoft uploaded a new video
(3 months ago)
In this case study, there is a need to automatically classify text documents based on their content. Currently, the text articles are manually rea...
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In this case study, there is a need to automatically classify text documents based on their content. Currently, the text articles are manually read and acted upon. Our goal is to automate as much as possible with a predictive model sorting the text files. Articles related to financial earnings should be flagged for review and sent to the appropriate individuals. In this video, we explore how STATISTICA Text Miner can be used to explore and index the text. The Text Mining results are used to build a predictive model to flag financial articles for review. Then the results are deployed to new articles as they become available. The video gives an overview of this analysis to show the possibilities available with Text Mining.
This video uses graphing and data mining techniques, which are covered in depth in other instructional videos. The following videos may also be of interest:
Getting Started With STATISTICA --Graphing: http://youtu.be/ac7BoV87cy8
Introduction to Data Mining -- Variable screening: http://youtu.be/XOLouxpuIOk
Introduction to Data Mining -- C&RT for Classification: http://youtu.be/f0eCYQY4gcQ
Introduction to Data Mining -- Exploring Model Lift and Gains: http://youtu.be/i1R33b1WTro
Introduction to Data Mining -- Model Deployment and Scoring: http://youtu.be/LDoQVbWpgKY
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StatSoft uploaded a new video
(4 months ago)
Sources of Text for Text Mining: For an analysis project, first we need data. For text mining, we need text. This video explores possible sources...
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Sources of Text for Text Mining: For an analysis project, first we need data. For text mining, we need text. This video explores possible sources of text to aid in your predictive analysis. Topics include text mining of customer feedback such as surveys, reviews and social media talk, email, form comment fields, published materials, and web content. Briefly, ways of accessing these various types of text are discussed. Case study examples will be presented in future sessions.
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StatSoft uploaded a new video
(4 months ago)
Welcome to StatSoft's Introduction to Text Mining video series. This series will cover concepts, process, and hands-on examples of text mining.. ht...
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Welcome to StatSoft's Introduction to Text Mining video series. This series will cover concepts, process, and hands-on examples of text mining.. https://www.statsoft.com/l/text-minin...
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