Semantic hashtag relation classification using co-occurrence word information
Abstract
Social Networking Service users express their thoughts and feelings using hashtags. Hashtags can be related to other hashtags and these hashtags and images are used together in a post that the user wrote. Understanding the meaning of a hashtag is one of the ways to learn latent semantic expressions of words. Existing methods for learning semantic analysis use large corpus. This research focuses on the classification of semantic words using a user's hashtag data and co-occurrence hashtag information.
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