A Study on tagging on documents based on latent topics

Abstract

Recently, huge amount of documents are posted on the web by blog and twitter. These documents are, however, stored in disorder on the internet, thus it is difficult to find required documents. In a lot of documents, tagging is done by hand. However, a lot of documents especially in twitter are not tagged yet. Tagging by managers or authors on these documents is a heavy burden for them, so auto-tagging is needed. This paper tries to construct an auto-tagging system using latent topic information and proposes a new topic model for the auto-tagging.