com.johnsnowlabs.nlp.annotators.sda.pragmatic
multiplier for decrement sentiments.
multiplier for decrement sentiments. Defaults -2.0
Rule based sentiment detector
Rule based sentiment detector
delimited file with a list sentiment tags per word.
delimited file with a list sentiment tags per word. Requires 'delimiter' in options
if true, score will show as the double value, else will output string \"positive\" or \"negative\".
if true, score will show as the double value, else will output string \"positive\" or \"negative\". Defaults false
input annotations columns currently used
Gets annotation column name going to generate
Gets annotation column name going to generate
multiplier for increment sentiments.
multiplier for increment sentiments. Defaults 2.0
Input annotation type : TOKEN, DOCUMENT
Input annotation type : TOKEN, DOCUMENT
columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified
columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified
"multiplier for negative sentiments.
"multiplier for negative sentiments. Defaults -1.0
Output annotation type : SENTIMENT
Output annotation type : SENTIMENT
multiplier for positive sentiments.
multiplier for positive sentiments. Defaults 1.0
multiplier for revert sentiments.
multiplier for revert sentiments. Defaults -1.0
Multiplier for decrement sentiments.
Multiplier for decrement sentiments. Defaults -2.0
delimited file with a list sentiment tags per word.
delimited file with a list sentiment tags per word. Requires 'delimiter' in options. Dictionary needs 'delimiter' in order to separate words from sentiment tags
delimited file with a list sentiment tags per word.
delimited file with a list sentiment tags per word. Requires 'delimiter' in options. Dictionary needs 'delimiter' in order to separate words from sentiment tags
if true, score will show as the double value, else will output string \"positive\" or \"negative\".
if true, score will show as the double value, else will output string \"positive\" or \"negative\". Defaults false
Multiplier for increment sentiments.
Multiplier for increment sentiments. Defaults 2.0
Overrides required annotators column if different than default
Overrides required annotators column if different than default
Multiplier for negative sentiments.
Multiplier for negative sentiments. Defaults -1.0
Overrides annotation column name when transforming
Overrides annotation column name when transforming
Multiplier for positive sentiments.
Multiplier for positive sentiments. Defaults 1.0
Multiplier for revert sentiments.
Multiplier for revert sentiments. Defaults -1.0
requirement for pipeline transformation validation.
requirement for pipeline transformation validation. It is called on fit()
internal uid needed for saving annotator to disk
internal uid needed for saving annotator to disk
takes a Dataset and checks to see if all the required annotation types are present.
takes a Dataset and checks to see if all the required annotation types are present.
to be validated
True if all the required types are present, else false
Required input and expected output annotator types
Gives a good or bad score to a sentence based on the approach used