Competency 1.1

Competency 1.1: Identify proprietary and open source tools commonly used in learning analytics.

I have specifically focused on text mining while searching for tools because I've been working on it, but some of these also include other options. From my usage, the most powerful ones I've seen are Rapidminer and R, both available for free. 

Tool	Publisher	Reference Website	Text Analysis Methods
WORDSTAT	Provalis Research	http://provalisresearch.com/ products/content-analysis-software/	Word Categorization, Frequency Analysis, Keyword retrieval, Automated text classification
TagHelper	Carolyn Rose	http://www.cs.cmu.edu/~cprose/ TagHelper.html	Automatic coding based upon the written coding rules
MEPA	Gijsbert Erkens	http://edugate.fss.uu.nl/mepa/ index.htm	frequency, time-interval analysis,  word-frequency,  word-context analysis, sorting and searching
SPSS Text Analytics	IBM	http://www-03.ibm.com/software/products/ us/en/spss-text-analytics-surveys	Automatic categorization and grouping of terms
Wmatrix	Paul Rayson	http://ucrel.lancs.ac.uk/wmatrix/	Word frequencies, word search, word clouds, pos tag frequencies, MWEs, n-grams, automatic tagging
KNIME	Kilian Thiel	http://tech.knime.org/ knime-text-processing	classification and clustering of documents, named entity recognition, tag clouds
Weka	The University of Waikato	http://www.cs.waikato.ac.nz/ml/weka/	Text classification, clustering, association
TADA-Ed	Agathe Merceron, Kalina Yacef	http://imej.wfu.edu/articles/2005/ 1/03/index.asp#2	Classification, clustering, association
RapidMiner	RapidMiner Inc	http://rapidminer.com/	Operator pane --> Text Processing folder. There are several more folders such as "Tokenization", "Extraction", "Filtering", "Stemming", "Transformation", and "Utility"
R	The R Foundation for Statistical Computing	http://www.rdatamining.com/r	frequent terms, clustering, classification, association analysis