Process Documents from Data
(Text Processing)
Synopsis
Generates word vectors from string attributes.Input
word list
The word list port.
example set (Data table)
The example set port.
Output
example set (Data table)
The example set port.
word list
The word list port.
Parameters
- create word vectorIf checked, the tokens of a document will be used to generate a vector numerically representing the document.
- vector creationSelect the schema for creating the word vector.
- add meta informationIf checked, available meta information of the text like filename, date is added as attribute.
- keep textIf checked, the input text will be stored as a special String attribute with the role text.
- prune methodSpecifies if to frequent or to infrequent words should be ignored for word list building and how the frequencies are specified.
- prune below percentIgnore words that appear in less than this percentage of all documents.
- prune above percentIgnore words that appear in more than this percentage of all documents.
- prune below absoluteIgnore words that appear in less than that many documents.
- prune above absoluteIgnore words that appear in more than that many documents.
- prune below rankWords are ordered by frequency and words with a frequency less than the frequency of the rank given by this percentage will be pruned.
- prune above rankWords are ordered by frequency and words with a frequency higher than the frequency of the rank given by this percentage will be pruned.
- datamanagementDetermines, how the data is represented internally.
- select attributes and weightsIf checked, you might select the used text attributes and their weights. Otherwise all text attributes are used.
- specify weightsThis parameters allows to set weights per attribute. Text from attributes with higher weight will be more imporant during analysis.
- parallelize vector creationDetermines whether the execution of Vector Creation should be parallelized.