User activity type identification method based on social media
A user activity and type identification technology, applied in the field of user activity type identification based on social media, can solve the problems of low classification accuracy, ignore structural information and users in comments, and achieve the effect of improving recognition accuracy
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[0024] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.
[0025] A method for identifying user activity types based on social media, such as figure 1 shown, including:
[0026] S1. Crawl comment data representing different activity types on the Yelp website, and add a category label of user activity type to each comment data crawled;
[0027] S2. Record the ID information of each user and the friend relationship information between each user, and the friend relationship information is used to represent whether they are friends;
[0028] S3. Perform data preprocessing on the comment data to filter out useless information;
[0029] S4, using a language model (such as tfidf), the comment data of the text type (comment of the whole sentence or the whole paragraph), the user ID, ...
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