Optional Syntax Elements for TD_WordEmbeddings - Teradata VantageCloud Lake
Lake - Analyze Your Data with ClearScape Analytics™
- Deployment
- VantageCloud
- Edition
- Lake
- Product
- Teradata VantageCloud Lake
- Release Number
- Published
- February 2025
- ft:locale
- en-US
- ft:lastEdition
- 2026-02-20
- dita:mapPath
- tcl1683670667798.ditamap
- dita:ditavalPath
- pny1626732985837.ditaval
- dita:id
- tcl1683670667798
- SecondaryColumn
- Name of the input table column that contains the text. This field is applicable for the token2token-similarity and doc2doc-similarity operations only.
- Accumulate
- List of columns to be added to the output from the input table. This is not applicable with the token-embedding operation.
- Operation
- Operation to be performed on the data. Options are:
- token-embedding: Emits vectors to all tokens in the column.
- doc-embedding: Vectorizes each token in the document and combines them.
- token2token-similarity: Computes the similarity between tokens and quantifies the result value.
- doc2doc-similarity: Computes the similarity between documents and quantifies the result value.
- Default value: token-embedding
- RemoveStopWords
- All stop words present in the input table text are removed before any operation is performed. Applicable to all operations except token2token-similarity. Default is False.
- ConvertToLowerCase
- All operations are performed after converting input table text to lowercase letters. Default is True.
- StemTokens
- Converts word to its root word in the input table, such as converting going to go. Default is False.