Method for predicting gender of microblog user based on deep learning

Abstract

The invention relates to a method for predicting the gender of a microblog user based on deep learning and belongs to the field of Web mining and intelligent information processing. The prediction method includes the steps of collecting microblog information; preprocessing a microblog text; constructing word vectors of microblog text words; using a convolutional neural network-based microblog textrepresentation method to construct feature vectors of microblog text sentences; using a long-term and short-term memory network model-based method for gender prediction or classification of the microblog user. The convolutional neural network-based microblog text representation method can achieve semantic modeling of the microblog text without the need to manually construct microblog text features. The long-term and short-term memory network-based microblog user gender prediction method can extract semantic sequence dependency features in the microblog text. The method for predicting the gender of the microblog user can accurately extract the microblog text features and improve the recognition performance of the gender of the microblog user, and has broad application prospects in the fields of information recommendation and product marketing.

Description

technical field [0001] The invention relates to the fields of Web mining and intelligent information processing, and relates to a method for predicting the sex of microblog users based on deep learning. The invention has broad application prospects in the fields of information recommendation, network public opinion monitoring, and e-commerce. Background technique [0002] Gender prediction of Weibo users is an important research content of user identity portrait construction. The construction of user identity portrait refers to the identification of various identity attributes of users, including the user's gender, age, and education level. User identity portrait construction technology can be widely used in computer investigation and evidence collection, network public opinion monitoring, commodity marketing and other fields. [0003] At present, user gender prediction mainly uses a classification method to identify the user's gender. In the document "Authorship Attributi...

AI Technical Summary

Problems solved by technology

[0004] The existing microblog user gender identification methods mainly have the following problems: it is necessary to manually construct the microblog text features; the existing microblog text representation mainly uses the vector space model or the bag of words model, which has the problem of sparse feature vectors and high dimensionality

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