http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113111267-A

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filingDate 2021-04-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_bd383fc3b5ebc5590919ea5ac450d477
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publicationDate 2021-07-13-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-113111267-A
titleOfInvention A multi-task rumor detection method based on bidirectional propagation graph
abstract The invention discloses a multi-task rumor detection method based on a bidirectional propagation graph, which can be used for rumor detection of social network posts and position detection of comment information. The invention firstly generates a text feature matrix, a user feature matrix and a text statistical feature matrix according to the content of the rumor post, then constructs the bidirectional propagation graph of the rumor, extracts the propagation feature of the rumor by calculating the bidirectional graph convolution and performing root node feature enhancement, and finally extracts the propagation feature of the rumor. After average pooling and feature integration of the propagation features, a softmax classifier is trained to obtain the results of rumor detection and position detection. The present invention can effectively acquire the sequence propagation features and breadth spreading features of rumors, and introduce the position detection of user comments as an auxiliary task, thereby improving the generalization of the model and further improving the accuracy of the rumor detection task.
priorityDate 2021-04-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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