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Concept Tagging (1)

Perform concept tagging using AlchemyAPI. See here for more information: http://www.alchemyapi.com/api/relation/

Created: 2012-10-04

Credits: cneudecker

Entity Extraction (1)

Perform entity extraction using AlchemyAPI. See here for more information: http://www.alchemyapi.com/api/entity/

Created: 2012-10-04

Credits: cneudecker

Sentiment Analysis (1)

Perform sentiment analysis using AlchemyAPI. See here for more information: http://www.alchemyapi.com/api/sentiment/

Created: 2012-10-04

Credits: cneudecker

Relation Extraction (1)

Perform relation extraction using AlchemyAPI. See here for more information: http://www.alchemyapi.com/api/relation/

Created: 2012-10-04 | Last updated: 2014-04-09

Credits: cneudecker

Matchbox Evaluation (1)

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Matchbox evaluation against ground truth. The evaluation process first creates the matchbox output and ground truth lists. It then counts each page tuple from the matchbox output that is in the ground truth as correctly identified tuple (true positive). Those that are not in the ground truth are counted as incorrectly identified tuples (false positives), and finally, those that are in the ground truth but not in the matchbox output are counted as missed tuples (false negatives). The precision...

Created: 2012-10-02 | Last updated: 2012-10-02

Credits: Sven

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Presentation - From SALAMI to Social Machines

Created: 2012-10-02 09:34:13 | Last updated: 2012-10-02 15:11:23

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Choosing the best k value for the k-NN cla... (1)

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The process determines the best value for the parameter k for the k-NN classification of the Breast Cancer Wisconsin (Diagnostic) data set available in the UCI Machine Learning Repository. The optimal k is computed by using 10-fold cross-validation. (To get better results each cross-validation is repeated 10 times and the averages of the runs are considered.) Finally, a k-NN classifier is built and evaluated on the entire data set using the optimal k. During the process the resulting average ...

Created: 2012-09-28 | Last updated: 2012-09-28

A simple process that demonstrates how to ... (1)

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This simple RapidMiner process demonstrates how to use the Open File operator introduced in RapidMiner 5.2. In this example we use the operator to consume a data feed from the web.

Created: 2012-09-27

Querying SDSS DR8 to get magnitude properties (2)

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This workflow gets a VOTable with the RA and DEC among others values of a list of galaxies. The workflow queries the SDSS DR8 VO conesearch service, to extract the objID, specObjID, ra, dec, u, g, r, i, z.

Created: 2012-09-26 | Last updated: 2013-03-08

Credits: Susana

Searching for near galaxies in NED service (2)

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This workflow needs as input an ascii table with a list of galaxies. This table contains the PGC name of the galaxy, the CIG number, the radius of searching, Z1 and Z2. The workflow uses the radius, Z1, Z2 and the PGC name of the galaxy to query NED service and get the html with the list of companions. This html is parsed and it is built a VOTable with the RA, DEC, Magnitud, Redshift, Separation, Velocity of each companion.

Created: 2012-09-26 | Last updated: 2012-10-09

Credits: Susana