Coming Clean about Cleaning. Professional and Public Perspectives: Are Conservators Truthful and Visitors Useful in Decision-making?     

Katy Lithgow  Stavroula Golfomitsou  Catherine Dillon 《文物保护研究》2018,63(5):392-396

  相似文献   

Analysis of Academic Libraries' Facebook Posts: Text and Data Analytics     

Sultan M. Al-Daihani  Alan Abrahams 《The Journal of Academic Librarianship》2018,44(2):216-225

This research analyzed a dataset of academic libraries' posts on Facebook. It applied a text and data analytics approach to a dataset collected from the Facebook posts of academic libraries at the top 100 English-speaking universities, as listed by the 2014 Shanghai World University Rankings. The dataset is from a two-year posting history of 18,333 unique posts, 113,621 likes, and 3401 comments. Less than a quarter of the libraries had more than 2000 post-related likes, and only seven received more than 100 comments on their postings. Content analysis identified the most prevalent single word (unigrams), bigrams (two-word sequences), and trigrams (three-word sequences) in high and low engagement content. Semantic analysis identified the semantic categories for posts with high and low engagement. The findings can assist academic libraries in their social media strategies for engagement, marketing, and visibility.  相似文献   

Trends of infodemiology studies: a scoping review          下载免费PDF全文

Kimia Zeraatkar  Maryam Ahmadi 《Health information and libraries journal》2018,35(2):91-120

Introduction

The health care industry is rich in data and information. Web technologies, such as search engines and social media, have provided an opportunity for the management of user generated data in real time in the form of infodemiology studies. The aim of this study was to investigate infodemiology studies conducted during 2002–2016, and compare them based on developed, developing and in transition countries.

Methods

This scoping review was conducted in 2017 with the help of the PRISMA guidelines. PubMed, Scopus, Science Direct, Web of Knowledge, Google Scholar, Wiley and Springer databases were searched between the years 2002 and 2016. Finally, 56 articles were included in the review and analysed.

Results

The initial infodemiology studies pertain to the quality assessment of the hospital's websites. Most of the studies were on developed countries, based on flu, and published in the Journal of Medical Internet Research.

Conclusion

The infodemiology approach provides unmatched opportunities for the management of health data and information generated by the users. Using this potential will provide unique opportunities for the health information need assessment in real time by health librarians and thereby provide evidence based health information to the people.

  相似文献   

The more multidisciplinary the better? – The prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions     

Zhiya Zuo  Kang Zhao 《Journal of Informetrics》2018,12(3):736-756

Scientific research is increasingly relying on collaborations to address complex real-world problems. Many researchers, policymakers, and administrators consider a multidisciplinary environment an important factor for fostering research collaborations, especially interdisciplinary ones that involve researchers from different disciplines. However, it remains unknown whether a higher level of multidisciplinarity within an academic institution is associated with internal collaborations that are more prevalent and more interdisciplinary. Analyzing 90,000 publications by 2500 faculty members in over 100 academic institutions from three multidisciplinary areas, information, public policy, and neuroscience, we investigated the connection between multidisciplinarity and research collaborations. Based on social network analysis and text mining, our analysis suggests that more multidisciplinary institutions are not necessarily more collaborative, although they do feature collaborations that are more interdisciplinary. Our findings provide implications for academic administrators and policymakers to promote research collaborations and interdisciplinarity in academic institutions.  相似文献   

中文电子病历的分词及实体识别研究   总被引：1，自引：0，他引：1  

王若佳  赵常煜  王继民 《图书情报工作》2019,63(2):34-42

[目的/意义]健康医疗大数据是我国重要的基础性战略资源，本研究对中文电子病历分词与实体识别的探讨与实证较好地完成了医疗数据的信息抽取任务，对今后医疗大数据在语义层面的应用发展具有重要意义。[方法/过程]本研究首先融合权威词表、官方标准、健康网站数据及其他医学补充词库构建了词语数量级达到10万的医学词表；然后对电子病历的字段进行分词，对比了jieba工具、导入词典后的jieba、无监督学习及AC自动机4种模型的分词效果；最后，以自动分词和人工标注结果为语料，实现基于条件随机场的电子病历实体识别研究，并比较不同实体类别以及不同文本特征下的实体识别效果，选出最优模板。[结果/结论]分词结果显示，AC自动机的效果最好，F值可达82%；实体识别结果表明，"检查"和"疾病"实体的识别效果最好，而"症状"的识别效果不太理想。  相似文献   

科技期刊编辑新媒体出版能力的培育   总被引：1，自引：0，他引：1  

李雪  王占坤  崔晓健  邱文静  袁泽轶  李晓光  董艺  张彤 《编辑学报》2016,28(6):602-605

分析我国科技期刊编辑现状和新时期编辑职业能力的新要求,通过对出版格局的统筹策划能力、专业领域的预研判断能力、新媒体技术的开发应用能力、出版大数据的挖掘分析能力、出版实践的组织协调能力、面向国际战略的综合拓展能力等6个方面的解析,提出了当今科技期刊编辑所应具备和培养的全媒体出版的适应能力.  相似文献   

面向数字人文研究的大规模古籍文本可视化分析与挖掘   总被引：2，自引：1，他引：1  

欧阳剑 《中国图书馆学报》2016,42(2):66-80

传统的古籍开发与应用模式已难以适应人文学科研究的需要,人文学科研究者期待一个技术逻辑和人文逻辑相耦合的数字人文研究范式的出现。本文从古籍文献深层次开发与利用出发,利用新的信息技术与面向数字人文研究跨学科方法,以大规模中国古籍文本为研究对象,采用大数据研究理念,对古籍进行整理、标注、自动分词等处理,以词频分析统计为研究核心,采用数据降噪、基于窗口时间单位的统计分析计算、滑动窗口预测等分析与挖掘方法,采用大数据实时分析技术,实现了实时、在线、立体、可视化、定量分析字词的历史词频分布规律,创建了一个以语言学、历史文献学、历史地理学等人文学科研究为主的古籍实时统计分析平台,可辅助研究者在大量的古籍文献中发现新的模式、现象、趋势等,实现古籍开发与应用模式创新的初步尝试。图11。参考文献36。  相似文献   

资源型工矿业城市再就业问题为析——以唐山市为例     

韩延星  李渤 《唐山师范学院学报》2000,(1)

资源型工矿业城市的再就业问题与其他城市相比具有自身的特殊性和解决的紧迫性与困难性。本又以唐山市为例,在分析资源型工矿业城市再就业的困境及形成原因的基础上,探讨了这类城市再就业难题的解困思路。  相似文献   

Explaining match outcome in elite Australian Rules football using team performance indicators     

Sam Robertson  Nicole Back  Jonathan D. Bartlett 《Journal of sports sciences》2016,34(7):637-644

The relationships between team performance indicators and match outcome have been examined in many team sports, however are limited in Australian Rules football. Using data from the 2013 and 2014 Australian Football League (AFL) regular seasons, this study assessed the ability of commonly reported discrete team performance indicators presented in their relative form (standardised against their opposition for a given match) to explain match outcome (Win/Loss). Logistic regression and decision tree (chi-squared automatic interaction detection (CHAID)) analyses both revealed relative differences between opposing teams for “kicks” and “goal conversion” as the most influential in explaining match outcome, with two models achieving 88.3% and 89.8% classification accuracies, respectively. Models incorporating a smaller performance indicator set displayed a slightly reduced ability to explain match outcome (81.0% and 81.5% for logistic regression and CHAID, respectively). However, both were fit to 2014 data with reduced error in comparison to the full models. Despite performance similarities across the two analysis approaches, the CHAID model revealed multiple winning performance indicator profiles, thereby increasing its comparative feasibility for use in the field. Coaches and analysts may find these results useful in informing strategy and game plan development in Australian Rules football, with the development of team-specific models recommended in future.  相似文献   

Apriori算法在网上考试系统中的应用     

刘林东  曾小宁 《广东教育学院学报》2005,25(5):103-108

在远程教育系统的网上考试系统模块中,数据库和数据仓库中的用户交互数据记录了用户对系统的访问行为信息,利用最小支持度和最小置信度,挖掘出频繁项集,对这些信息的分析有利于远程教育教学管理人员和教师掌握学生对知识的掌握情况,从而可以对教学内容加以改进,对教学平台进行优化.  相似文献