An event prediction method, device and system
A prediction method and event technology, applied in the computer field, can solve problems such as unpredictable events, and achieve the effect of accurately predicting suspicious events
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Embodiment 1
[0075] figure 1 For a schematic flow chart of an event prediction method provided in Example 1 of the present application, see figure 1 , the method may specifically include the following steps:
[0076] Step 120, obtaining text data in social network data;
[0077] It should be noted that one implementation of step 120 may be:
[0078] First, capture social network data from social platforms, and then perform preprocessing such as conversion, cleaning, parsing, and classification on the captured social network data to distinguish between structured data and unstructured data, as well as unstructured data. Text data in data. When performing event prediction, the corresponding text data is obtained from it.
[0079] Another implementation of step 120 may be:
[0080] First, capture social network data from social platforms, and then perform preprocessing such as conversion, cleaning, parsing, and classification on the captured data to distinguish between structured data an...
Embodiment 2
[0093] figure 2 For a schematic flow chart of an event prediction method provided in Example 2 of the present application, see figure 2 , the method may specifically include the following steps:
[0094] Step 220, obtain the text data in the social network data and the user behavior data associated with the text data;
[0095] It should be noted that social network data includes structured data and unstructured data. Wherein, the user behavior data belongs to structured data, including: entity data and / or tag data, the entity data is used to represent a collection of data related to text data, and the tag data is used to represent text data or words in text data The corresponding label and the data corresponding to the label. Taking a conversation as text data, the corresponding entity data are, for example, the participating entities of the conversation, the location and time of the conversation, etc., and the behavior data such as web browsing, searching, and clicking p...
Embodiment 3
[0114] image 3 For a schematic flow chart of an event prediction method provided in Example 3 of the present application, see image 3 , the following describes the application in detail from the perspective of examples:
[0115] Step 320, fetching social network data from social platforms
[0116] Preprocess the social network data to obtain training data, which includes: message text (text data), entity data and label data. Wherein, the process of pretreatment has been described in embodiment 1 and 2, so, repeat it here no longer.
[0117] Step 340, vectorized representation of message text
[0118] The most important task throughout natural language processing is the representation of word vectors. In order to better complete most natural language processing tasks, it is necessary to define the similarity and difference between words. The present embodiment adopts word2vec training word vector, and word2vec has two basic models, is respectively CBOW word vector model a...
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