TD_SentimentExtractor

fastpath function to extracts the sentiment (positive, negative, or neutral) of each input document or sentence, using a dictionary model.

Options

Accumulate: Specifies the input table columns to copy to the output table. By default, the function doesn't copy any input table columns to the output table.
AnalysisType: Specify the level of analysis - whether to analyze each document (default) or each sentence in a document.
OutputType: Specify the kind of results to return: {ALL, POSITIVE, NEGATIVE, NEUTRAL}.
Priority: Specify the highest priority when returning results: {NONE, NEGATIVE_RECALL, NEGATIVE_PRECISION, POSITIVE_RECALL, POSITIVE_PRECISION}.
Output Schema: Output Schema, if Volatile is true then use user login as the schema.
Output Table: Output Table
VAL Location: VAL Location
Volatile: Specifies whether the table should be a VOLATILE table. If true, then the table is automatically deleted, otherwise it is users responsibility to remove or clean it up for space.
TextColumn: Specifies the input table column that contains the text data from which to extracts the sentiments.

: Connection to a Teradata Database Instance
: The relation that contains input data.
: The CustomDictionaryTable ON clause can be used if the user wants to use his own custom dictionary table.
: The AdditionalDictionaryTable ON clause can be used If the user wants to add additional entries to either CUSTOMDICTIONARYTABLE or default dictionary.