Retrieval Module (tmg_gui)

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