Conducting sentiment analysis using R

I’ve been asked on numerous occasions how to conduct sentiment analyses in R. There used to be a sentiment package, but it’s now only available via the archive. An alternative approach (and one that works with languages other than R) is to use a sentiment analysis web service. There are numerous services to choose from. […]
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SQL Server 2016 – Analytic Revolution with R

Part 3 – Implementing a Data Science Workstation SQL Server Architecture for R and Data Science We have previously seen how to integrate R with SQL Server. While executing R scripts in stored procedures is tremendously valuable, the methods lacks the interactivity required by most analysts. To appreciate how SQL Server’s R services can provide […]
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SQL Server 2016 – Analytic Revolution with R

Part 1 – Architecture and Installation The folks at Microsoft have created quite a buzz with the integration of R scripting into SQL Server. In recent years, the open-source statistical program R has established itself as the de-facto statistics and analysis package for big data. But it has always been possible to query SQL Server […]
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Dimensionality Reduction in R

Most problems of interest to organizations are multivariate. They involve multiple issues that must be looked at simultaneously. For example, when evaluating sites for a new store, we need to consider factors like cost of land, proximity to transport and local competition. The more issues (i.e. dimensions) we have to consider, the thorny the problems […]
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Executing DAX Queries From R

Christine, a student in Learning Tree’s course SQL Server Analysis Services for Business Intelligence, writes “I just created my first Analysis Services tabular model database, and I am having lots of fun. But now I want to do some more sophisticated statistical analysis using R. I can’t seem to find a way to use DAX […]
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