Method of analyzing social influence between internet forums and apparatus for the same
AssigneesKorea Advanced Institute of Science and Technology, S2W Inc.
InventorsSeung Won Shin, Kwan Woo Kim, Young Jin Jin, Chang Hoon Yoon
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Abstract
Provided is a method of analyzing social influence. The method according to the embodiments includes obtaining posts containing text data in a forum, generating a forum interaction graph including a plurality of nodes corresponding to a plurality of embedded vectors generated by embedding the posts and edges indicating a connection relationship between the posts, and training an artificial intelligence model using the forum interaction graph.
Claims11
A method of analyzing social influence, comprising:
- obtaining posts containing text data in a forum;
- generating a forum interaction graph including a plurality of nodes corresponding to a plurality of embedded vectors generated by embedding the posts and edges indicating a connection relationship between the posts;
- and
- training an artificial intelligence model using the forum interaction graph,
- wherein the artificial intelligence model includes a graph neural network model that inputs a first embedded vector generated by embedding a first post corresponding to a first node to predict a second embedded vector generated by embedding a second post corresponding to a second node connected to the first node through an edge.
A server for analyzing social influence, comprising:
- one or more processors;
- and
- a memory configured to store instructions that instruct the one or more processor to perform one or more operations,
- wherein the one or more operations include:
- obtaining posts containing text data in a forum,
- generating a forum interaction graph including a plurality of nodes corresponding to a plurality of embedded vectors generated by embedding the posts and edges indicating a connection relationship between the posts, and
- training an artificial intelligence model using the forum interaction graph,
- wherein the artificial intelligence model includes a graph neural network model that inputs a first embedded vector generated by embedding a first post corresponding to a first node to predict a second embedded vector generated by embedding a second post corresponding to a second node connected to the first node through an edge.
Dependencies are inferred from the claim text.