收稿日期: 2016-01-12
修回日期: 2016-02-06
网络出版日期: 2016-02-20
基金资助
本文系国家社会科学基金项目"社交媒体突发公共事件的协同应急机制研究"(项目编号:14CXW045)和教育部人文社会科学研究项目"微博突发公共事件传播路径的实时分析及其趋势预测"(项目编号:13YJC860013)研究成果之一。
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
朱娜娜 , 景东 , 薛涵 . 基于深度神经网络的微博图书名识别研究[J]. 图书情报工作, 2016 , 60(4) : 102 -106,141 . DOI: 10.13266/j.issn.0252-3116.2016.04.014
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
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