Method and device for identifying question type
A recognition method and a recognition device technology, which are applied in mechanical mode conversion, computer parts, graphic reading, etc., can solve problems such as the inability to accurately obtain the purpose of the test questions, the inability to accurately express in voice, and the limited use of voice products. Achieve the effects of avoiding device recognition actions, reducing device power consumption, and lowering requirements
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Embodiment 1
[0049] The invention discloses a question type identification method, the embodiment is as follows figure 1 shown, including:
[0050] S101 collects the user's voice information;
[0051] S102 judges whether the voice information is recognition trigger information;
[0052] S103, when it is determined that the voice information is recognition trigger information, obtain the action information of the user;
[0053] S104, according to the action information of the user, obtain the question type image to be identified;
[0054]S105 performs image processing on the title image to be identified, to obtain title text information in the title image to be identified;
[0055] S106 Input the question type text information into the trained question type identification model, and identify and output the examination intention corresponding to the question type.
[0056] This solution obtains the question type identification model based on machine learning, and then uses the question t...
Embodiment 2
[0067] On the basis of the above embodiment, before the user uses the intelligent voice device to identify the question type, a question type identification model needs to be obtained through machine learning. Machine learning can use the acquired question type training sample set to train the initial question type recognition model, and obtain a trained question type recognition model. Specifically, as figure 2 shown, including:
[0068] S201 uses the acquired question type training sample set to train the initial question type identification model, and obtains a trained question type identification model;
[0069] S202 collects the user's voice information;
[0070] S203 judges whether the voice information is recognition trigger information;
[0071] S204, when it is determined that the voice information is recognition trigger information, obtain the action information of the user;
[0072] S205, according to the action information of the user, obtain the question imag...
Embodiment 3
[0077] In another embodiment of the method of the present invention, on the basis of the above method embodiment, for step S201, the initial question type identification model is trained by using the acquired question type training sample set, and the trained question type identification model is refined. . Specifically, as image 3 As shown, the question type identification method of this embodiment includes:
[0078] S301 establishes a question type library, and the question type library contains various question types;
[0079] S302 extracts the characteristics of each type of question type, and obtains the keywords and examination intention of each type of question type;
[0080] S303 According to the keywords and examination intentions of various types of questions, establish the classification of question type intentions,
[0081] S304 uses the question type and question type intention classification in the question type database to train the initial question type ide...
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