Microblog rumor detection method

The invention provides a microblog rumor detection method, which considers an attention mechanism. The method comprises the following steps of collecting a microblog event and a corresponding commentdata set as sample data; preprocessing the sample data, and respectively extracting text contents of...

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Bibliographic Details
Main Authors SONG YURONG, PAN DEYU
Format Patent
LanguageChinese
English
Published 20.11.2020
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Summary:The invention provides a microblog rumor detection method, which considers an attention mechanism. The method comprises the following steps of collecting a microblog event and a corresponding commentdata set as sample data; preprocessing the sample data, and respectively extracting text contents of original microblogs and comments; pre-training the text by adopting a BERT pre-training model, andgenerating a sentence vector with a fixed length for each sentence of text; constructing a dictionary, and extracting original microblogs and a plurality of corresponding comments to form a microblogevent vector matrix; training the vector matrix by adopting a deep learning method Text CNN-Attention, and constructing a multi-level training model; and performing classification detection on the vector matrix according to the multi-level training model to obtain a rumor detection result corresponding to the social network data. Compared with a traditional rumor detection method, accuracy is improved. 本发明提供了一种微博谣言检测方法,考虑了注
Bibliography:Application Number: CN202010757089