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A Deep Neural Network for Book Title Identification in Microblog
Received date: 2016-01-12
Revised date: 2016-02-06
Online published: 2016-02-20
As a blooming social media platform, microblog has received extensive attention by the web users. The microblog data include massive user profile, user behavior and user generated content. Automatic identification of book title in microblog contributes to analysis of user interests and data mining of books. [Method/process] Based on the features of the microblog data, in this paper, we proposed a deep neural network approach to identify the book title in the microblog which is posted by users. [Result/conclusion] The experimental results show that the proposed approach significantly outperforms the traditional supervised learning approaches which are based on the feature engineering and the accuracy reaches 91.92%.
Key words： book title identification; neural network; deep learning; microblog
Zhu Nana , Jing Dong , Xue Han . A Deep Neural Network for Book Title Identification in Microblog[J]. Library and Information Service, 2016 , 60(4) : 102 -106,141 . DOI: 10.13266/j.issn.0252-3116.2016.04.014
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