Text Analytics Flashcards

1
Q

Detect Languages:

A

Detects the language of each line in the input file.

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2
Q

Extract Key Phrases from Text:

A

Extracts key phrases from given text.

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3
Q

Extract N-Gram Features from Text:

A

Creates N-Gram dictionary features, and does feature selection on them.

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4
Q

Feature Hashing:

A

Converts text data to integer-encoded features by using the Vowpal Wabbit library.

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5
Q

Latent Dirichlet Allocation:

A

Performs topic modeling by using the Vowpal Wabbit library for LDA.

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6
Q

Named Entity Recognition:

A

Recognizes named entities in a text column.

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7
Q

Preprocess Text:

A

Performs cleaning operations on text.

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8
Q

Score Vowpal Wabbit 7-4 Model:

A

Scores input from Azure by using version 7-4 of the Vowpal Wabbit machine learning system.

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9
Q

Score Vowpal Wabbit 7-10 Model:

A

Scores input from Azure by using version 7-10 of the Vowpal Wabbit machine learning system.

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10
Q

Score Vowpal Wabbit 8 Model:

A

Scores input from Azure by using version 8 of the Vowpal Wabbit machine learning system.

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11
Q

Train Vowpal Wabbit 7-4 Model:

A

Trains a model by using version 7-4 of the Vowpal Wabbit machine learning system.

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12
Q

Train Vowpal Wabbit 7-10 Model:

A

Trains a model by using version 7-10 of the Vowpal Wabbit machine learning system.

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13
Q

Train Vowpal Wabbit 8 Model:

A

Trains a model by using version 8 of the Vowpal Wabbit machine learning system.

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