# QueryClassifier **`class QueryClassifier(config)`** Bases: [`BatchedStep`](../technical/libnlp/steps/standard.md#squirro.lib.nlp.steps.batched_step.BatchedStep) Step that uses ONNX model to infer the type of the query. **Input** - the input field needs to be of type [`str`](https://docs.python.org/3.11/library/stdtypes.html#str). **Output** - the output field is filled with data of type [`str`](https://docs.python.org/3.11/library/stdtypes.html#str). Parameters - `step` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)`, ``"app"`) – app - `type` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)`, ``"query_processing"`) – query_processing - `name` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)`, ``"query_classifier"`) – query_classifier - `model` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)`, ``"svm-query-classifier"`) – Model name - `input_field` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)`, ``"user_terms_str"`) – Field on which the query classifier gets applied - `path` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)`, ``"."`) – path - `force_question_characters` ([`str`](https://docs.python.org/3.11/library/stdtypes.html#str)`, ``"?¿"`) – if query ends with one of those characters, enforce question_or_statement prediction - `force_question_length` ([`int`](https://docs.python.org/3.11/library/functions.html#int)`, ``4`) – amount of user query terms that enforce question_or_statement prediction Methods SummaryMethods Documentation **`pre_session_hook()`** Download and extract the model if it’s not existing. Return type [`None`](https://docs.python.org/3.11/library/constants.html#None) **`process_doc(doc)`** Process a document Parameters `doc` ([`Document`](../technical/libnlp/base.md#squirro.lib.nlp.document.Document)) – Document Returns Processed document Return type [Document](../technical/libnlp/base.md#squirro.lib.nlp.document.Document) **`shortcut_question_or_statement(doc)`**