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基于深度学习的信息组织与检索研究综述
引用本文:熊回香,杨梦婷,李玉媛.基于深度学习的信息组织与检索研究综述[J].情报科学,2020,38(3):3-10.
作者姓名:熊回香  杨梦婷  李玉媛
作者单位:华中师范大学信息管理学院
基金项目:国家社会科学基金年度项目“融合知识图谱和深度学习的在线学术资源挖据与推荐研究”(19BTQ005);中央高校基本科研业务费重大培育项目“基于语义网的在线健康信息的挖掘与推荐研究”(CCNU19Z02004).
摘    要:【目的/意义】深度学习是近几年来人工智能领域的研究热点之一,了解深度学习在信息组织与检索方面的研究现状,能为信息组织与检索的深入研究提供参考和借鉴。【方法/内容】通过对国内基于深度学习的信息组织与检索方向的相关文献进行梳理,剖析深度学习相关模型、阐述深度学习在信息组织与检索中的研究热点主题,并结合深度学习技术的特点和信息组织与检索的研究内容,对深度学习在信息组织与检索方向的应用前景进行预测。【结果/结论】研究表明,当前深度学习在信息组织与检索中的研究热点主要集中在智能信息抽取、自动文本分类、情感分析和文本聚类这四个主题,预测未来深度学习在信息组织与检索方向会朝着对异构信息处理、智能信息检索、个性化信息推荐等方向发展。

关 键 词:深度学习  神经网络  信息组织与检索

A Survey of Information Organization and Retrieval Based on Deep Learning
XIONG Hui-xiang,YANG Meng-ting,LI Yu-yuan.A Survey of Information Organization and Retrieval Based on Deep Learning[J].Information Science,2020,38(3):3-10.
Authors:XIONG Hui-xiang  YANG Meng-ting  LI Yu-yuan
Institution:(School of Information Management,Central China Normal University,Wuhan 430223,China)
Abstract:【Purpose/significance】Deep learning is one of the research hotspots in the field of artificial intelligence in recent years. Understanding the research status of deep learning in information organization and retrieval can provide theoretical reference and new study perspective for the in-depth study of information organization and retrieval.【Method/process】Through analyzing relevant literature on information organization and retrieval based on deep learning in China, this paper analyzes some deep learning models, and then elaborates on the hot topics of deep learning in information organization and retrieval. Combined with the characteristics of deep learning and the research content of information organization and retrieval, it forecasts the application prospects of deep learning in the future.【Result/conclusion】Research shows that the current research topics mainly focuses on intelligent information extraction, automatic text classification, sentiment analysis and text clustering. It is predicted that deep learning will study deeply towards heterogeneous information processing, intelligent information retrieval and personalized information recommendation.
Keywords:deep learning  neural networks information  organization and retrieval
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