Cross-platform user identification method and cross-platform user identification system
A user identification, cross-platform technology, applied in the field of cross-platform user identification methods and systems
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Embodiment 1
[0056] Embodiment 1 discloses a cross-platform user identification method, refer to figure 1 , the method may include the following steps:
[0057] S101: Obtain the first message segment of the first user account on the first platform, and acquire the second message segment of the second user account on the second platform, wherein the first message segment is published by the first user account A message segment composed of all messages within the first preset time period, and the second message segment is a message segment composed of all messages published within the first preset time period in the second user account.
[0058] In this embodiment, the method of the present invention is described by taking the identification of whether the Sina Weibo account and the Tencent Weibo account belong to the same user as an example.
[0059] Specifically, the API (Application Programming Interface, Application Programming Interface) specially provided by Sina Weibo can be used to ...
Embodiment 2
[0093] In the second embodiment, refer to figure 2 , the cross-platform user method may also include the following steps between steps S102 and S103:
[0094] S106: Perform filtering processing on the first message segment in the participle form and the second message segment in the participle form respectively.
[0095] Among them, this step includes:
[0096] performing stop word removal and low frequency word removal processing on the first message segment in the word segmentation form; and performing stop word removal and low frequency word removal processing on the second message segment in the word segment form.
[0097] Specifically, social platform users often publish more messages and frequent times, for example, Weibo users publish more Weibo messages, etc., resulting in too large message texts collected. In this embodiment, in order to improve cross-platform user Recognition speed, remove stop words and remove low-frequency words (for example, filter out word seg...
Embodiment 3
[0099] In the third embodiment, refer to image 3 , the cross-platform user identification method may also include:
[0100] S107: Utilize the set number of message segment sample pairs in advance, and perform cross-platform user identification training on the maximum entropy classification method based on the feature similarity of each message segment sample pair to obtain a maximum entropy classifier, so as to realize the adoption of the maximum entropy classifier. The entropy classifier identifies whether the first user account on the first platform and the second user account on the second platform belong to the same user.
[0101] Wherein, the two message segments contained in the message segment sample pair respectively belong to two accounts of different platforms, and the two accounts are accounts of the same user or accounts of different users, and the message segments contained in the message segment sample pair The publishing time of is within the second preset tim...
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