基于LDA主题模型的"双一流"高校图书馆用户评论文本数据挖掘
Text Data Mining of User Reviews in"Double First-class"University Libraries Based on LDA Topic Model
张文德 1徐子杨 2赵立红3
作者信息
- 1. 福州大学信息管理研究所 福建福州 350108;福州大学图书馆 福建福州 350108
- 2. 福州大学图书馆 福建福州 350108
- 3. 闽南师范大学图书馆 福建漳州 363000
- 折叠
摘要
[目的/意义]图书馆用户评论中包含用户对图书馆服务和管理意见的重要信息,对用户评论文本进行深度挖掘,旨在探究用户关心主题及其情感态度、隐含诉求,为高校图书馆建设提供理论依据和数据支持.[方法/过程]以"双一流"高校图书馆为研究对象,收集用户在大众点评网上的评论数据,通过LDA主题建模,得到当前用户评论主要集中在信息资源建设、娱乐休闲服务、馆内设施环境三个维度,进而分别分析三个维度下的关键词共现网络和用户情感态度.[结果/结论]用户对高校图书馆的总体情感态度是积极正向的,但在纸质资源管理、社会化服务、馆内人性化服务等方面表现出负面情绪.
Abstract
[Purpose/significance]The library user reviews contain important information about users'opinions on library services and management.The in-depth analysis of user review texts aims to explore the topics users are concerned about,their emotional atti-tudes,and implicit demands,so as to provide theoretical basis and data support for the construction of university libraries.[Method/process]This paper takes the"double first-class"university libraries as the research objects,collects user reviews data on Dianping.com,and through LDA topic modeling,gets that the current user reviews mainly focus on three dimensions:information resource con-struction,entertainment and leisure services,and library facilities and environment.The keyword co-occurrence network and users'e-motional attitude under the three dimensions are then analyzed separately.[Result/conclusion]The overall emotional attitude of users to university libraries presents positive,but they show negative emotions in paper resource management,social services,and humanized services in the library.
关键词
高校图书馆/用户评论/LDA主题分析/共现网络/情感分析Key words
university library/user reviews/LDA topic analysis/co-occurrence network/sentiment analysis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据