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
Word Categorization,
Frequency Analysis,
Keyword retrieval,
Automated text classification
TagHelper
Carolyn Rose
Automatic coding based upon the written coding rules
MEPA
Gijsbert Erkens
frequency, time-interval analysis,
 word-frequency,
 word-context analysis, sorting and searching
SPSS Text Analytics
IBM
Automatic categorization and grouping of terms
Wmatrix
Paul Rayson
Word frequencies, word search, word clouds, pos tag frequencies, MWEs, n-grams, automatic tagging
KNIME
Kilian Thiel
classification and clustering of documents, named entity recognition, tag clouds
Weka
The University of Waikato
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
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
frequent terms, clustering, classification, association analysis

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