Public opinion analysis method and device, equipment and storage medium
A technology for public opinion analysis and event description, which is applied in the fields of equipment and storage media, devices, and public opinion analysis methods, and can solve the problems of high cost, difficulty in ensuring timeliness, and low efficiency.
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no. 1 example
[0078] see figure 2 , which shows a schematic flowchart of the public opinion analysis method provided in the embodiment of the present application, the method may include:
[0079] Step S201: Obtain several text data.
[0080] The text data in this embodiment may be text data that needs to be analyzed in any scene.
[0081] Optionally, some text data can be text data obtained by transcribing voice data (for example, human-to-human dialogue voice, man-machine dialogue voice, etc.), or text data obtained directly through some means (for example, Some text data crawled from the web).
[0082] Step S202: Process each text data into a structured event description to obtain several structured event descriptions.
[0083] Such as figure 2 As shown, after obtaining several text data, structural processing is performed on each text data to obtain a structured event description.
[0084] Optionally, the structured event description can include, but is not limited to: event type ...
no. 2 example
[0098] Through the public opinion analysis method provided in the first embodiment, it can be seen that processing each text data into a structured event description is the basis for subsequent clustering, statistics, and generation of early warning texts. In view of this, this embodiment uses a text data As an example (the processing process of each text data is the same), the implementation process of processing text data into a structured event description is mainly introduced.
[0099] Optionally, the process of processing target text data to be processed into a structured event description may include: processing the target text data into a structured event description based on a pre-trained data structure model.
[0100] Based on the pre-trained data structured model, processing the target text data into a structured event description includes: the first step and the second step.
[0101] Step 1: Obtain target text data.
[0102] Step 2: Input the target text data into ...
no. 3 example
[0122] The structure of the data structured model will be described below in conjunction with the above-mentioned second embodiment, and on the basis of the description of the structure of the data structured model, the processing of the target text data into a structured event description based on the data structured model process is introduced.
[0123] In this embodiment, the training text data marked with event types and structured event descriptions are used to make the event types predicted for the training text data consistent with the event types marked for the training text data, and to make the predictions for the training text data The structured event description tends to be consistent with the structured event description annotated by the training text data. The data structured model obtained by the target training is introduced as an example.
[0124] optional, such as Figure 5 As shown, the data structured model may include: a text feature vector acquisition m...
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