Retrieval Module (tmg_gui)


retrieval_gui is a graphical user interface for "Text to Matrix Generator" that can be used for applying a set of retrieval methods to term-document matrices (TDM's) constructed from tmg_gui.

See a demonstration of retrieval_gui.

For complete up-to-date documentation visit the TMG Wiki:

http://scgroup6.ceid.upatras.gr:8000/wiki/

Field Name Default Description
Select Dataset - Select the dataset.
Insert Query ● The query to be executed.
Alternative Global Weights - Global weights vector used for the construction of the query vector.
Use Stored Global Weights ● Use the global weights vector found on the container directory of the dataset.
Stoplist - Use a stoplist.
Local Term Weighting Term Frequency The local term weighting to be used.
Vector Space Model ● Apply the Vector space Model retrieval method.
Latent Semantic Analysis - The method used in the course of the Latent Semantic Analysis technique. Possible values: 'Singular Value Decomposition', 'Principal Component Analysis', 'Clusteredd Latent Semantic Analysis', 'Centroid Mathod', 'Semidiscrete Decomposition', 'SPQR'.
Number of Factors - Select the number of factors used during the retrieval process.
Similarity Measure cosine Similarity measure used during the retrieval process.
Number of most revevant ● Defines the number of most relevant documents returned for a query.
Similarity measure exceeds - Defines the minimum similarity measure value for which a document is treated as relevant to the query.
Continue - Apply the selected operation.
Reset - Reset window to default values.
Exit - Exit window.

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