Title:
ソーシャルメディアにおける言語識別
Document Type and Number:
Japanese Patent JP6749110
Kind Code:
B2
Abstract:
A method for language prediction of a social network post includes generating a social network graph which includes nodes connected by edges. Some of the nodes are user nodes representing users of a social network and some of the nodes are social network post nodes representing social network posts. At least some of the users are authors of social network posts represented by respective social network post nodes. Edges of the graph are associated with respective weights. At least one of the social network post nodes is unlabeled. Language labels are predicted for the at least one unlabeled social network post node which includes propagating language labels through the graph. A language of the social network post is predicted based on the predicted language labels for the social network post node representing that social network post and optionally also based on content-based features.
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Inventors:
Matthias Galle
William Radford
William Radford
Application Number:
JP2016044486A
Publication Date:
September 02, 2020
Filing Date:
March 08, 2016
Export Citation:
Assignee:
Conduient Business Services LLC
International Classes:
G06F16/383; G06F16/28
Domestic Patent References:
JP2013242676A | ||||
JP2014519104A | ||||
JP2009528628A | ||||
JP2009521029A |
Attorney, Agent or Firm:
Atsushi Nakajima
Kato Kazunori
Kato Kazunori