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DSTK – DataScience ToolKit

Posted on by Robin Ding Leave a comment Business Intelligence, Machine Learning, Office/Business

DSTK – DataScience ToolKit is an opensource free software for statistical analysis, data visualization, text analysis, and predictive analytics. It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features. Under settings, you can specify the software path to use for advanced prediction modeling, data transformation/editing, and python IDE. Of course you may specify JASP for advanced data editing and RapidMiner for advanced prediction modeling.

DSTK is written in C#, Java and Python to interface with R, NLTK, and Weka. It can be expanded with plugins using R Scripts. We have also created plugins for more statistical functions, and Big Data Analytics with Microsoft Azure HDInsights (Spark Server) with Livy.

License: R, RStudio, NLTK, SciPy, SKLearn, MatPlotLib, Weka, … each has their own licenses.

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Website https://dstk2.sourceforge.io
Tags
License GNU General Public License version 3.0 (GPLv3)
Platform Windows
Features
  • Data Scraping (Web Scraping, Video2Text, Image2Text)
  • Data and Text Preprocessing (with stemming, stopwords...)
  • Data Exploration and Visualizations (histogram, bar, pie, boxplot, ...)
  • Document Clustering
  • Text Analytics (Text Link Analysis, POSTagging, Sentiments Analysis, ...)
  • Predictive Analytics (both numerical and text, Naive Bayes, with additional Weka add-ins )
  • Plugins with Big Data features (need Microsoft Azure account)
  • Expandable with Plugins using R Scripts
  • Text Explorer/Analytics uses Gate's Gazetteer .lst files and online university sentiment word lists