| Argument | Category | Description |
|---|---|---|
| TextColumn | Required | Specifies the name of the input column that contains text from which to extract sentiments. |
| Language | Optional | Specifies the language of the input text:
|
| Model | Optional | Specifies the model type and file. The default model type is dictionary. If you omit this argument or specify dictionary without dict_file, then you must specify a dictionary table with alias 'dict'. If you specify both dict and dict_file, then whenever their words conflict, dict has higher priority. The dict_file must be a text file in which each line contains only a sentiment word, a space, and the opinion score of the sentiment word. If you specify classification model_file, then model_file must be the name of a model file generated and installed on the database by the function TrainSentimentExtractor. Before running the function, add the location of dict_file or model_file to the user/session default search path.
|
| Accumulate | Optional | Specifies the names of the input columns to copy to the output table. |
| Level | Optional | Specifies the level of analysis—whether to analyze each document (the default) or each sentence. |
| HighPriority | Optional | Specifies the highest priority when returning results:
|
| Filter | Optional | Specifies the kind of results to return:
|