排序方式: 共有136条查询结果,搜索用时 15 毫秒
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Zara Nasar Syed Waqar Jaffry Muhammad Kamran Malik 《Information processing & management》2019,56(6):102088
With the advent of Web 2.0, there exist many online platforms that results in massive textual data production such as social networks, online blogs, magazines etc. This textual data carries information that can be used for betterment of humanity. Hence, there is a dire need to extract potential information out of it. This study aims to present an overview of approaches that can be applied to extract and later present these valuable information nuggets residing within text in brief, clear and concise way. In this regard, two major tasks of automatic keyword extraction and text summarization are being reviewed. To compile the literature, scientific articles were collected using major digital computing research repositories. In the light of acquired literature, survey study covers early approaches up to all the way till recent advancements using machine learning solutions. Survey findings conclude that annotated benchmark datasets for various textual data-generators such as twitter and social forms are not available. This scarcity of dataset has resulted into relatively less progress in many domains. Also, applications of deep learning techniques for the task of automatic keyword extraction are relatively unaddressed. Hence, impact of various deep architectures stands as an open research direction. For text summarization task, deep learning techniques are applied after advent of word vectors, and are currently governing state-of-the-art for abstractive summarization. Currently, one of the major challenges in these tasks is semantic aware evaluation of generated results. 相似文献
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《Journal of Web Librarianship》2013,7(4):525-547
ABSTRACT Search engine use is one of the most popular online activities. According to a recent OCLC report, nearly all students start their electronic research using a search engine instead of the library Web site. Instead of viewing search engines as competition, however, librarians at Binghamton University Libraries decided to employ search engine optimization strategies to make their Web site more visible on the search engine result pages. Although search engine optimization is used frequently by commercial Web sites, few libraries have attempted to optimize their own sites. This article describes Binghamton University's experiences in developing and implementing an optimization pilot project. The research presented in this article has importance for libraries who may be considering an optimization project for their own sites. 相似文献
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2004-2009年我国图书情报学研究热点及发展趋势分析 总被引:6,自引:0,他引:6
以CNKI的《中国期刊全文数据库》为统计源,对2004-2009年图书情报学的17种核心期刊所发表的论文的关键词进行统计,运用词频分析方法描述图书情报学领域学术研究状况,进而揭示本学科的研究热点和发展趋势。 相似文献
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基于关键词效能的搜索引擎优化策略分析 总被引:1,自引:0,他引:1
介绍基于用户需求分析的搜索引擎优化策略,结合某网站的优化研究实例,提出建立在关键词效能算法、网站结构优化基础上的网站推广可行性方案。研究结果表明,这些优化策略有助于提高搜索引擎页面收录量和在搜索引擎的自然排名,从而获得更高的访问量。所讨论的内容适合中小企业电子商务网站的中长期优化和推广。 相似文献
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基于时序关键词热点识别方法的图情学科研究趋势分析(2000—2009) 总被引:1,自引:0,他引:1
根据所收集的2000—2009年共20多万篇图情专业期刊文献数据,提出对一般流行研究热点和潜在重要研究热点的定义方法,结合时序关键词热点识别方法,从积极趋势和消极趋势两个方面介绍6种常见的学科研究趋势分析方法,并分别给出识别算法和查询参数阈值。 相似文献
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This study explored the content and structure of physics teachers' beliefs on teaching and learning in general in relation to their domain-specific beliefs. A questionnaire was administered to secondary school teachers in physics (N = 126) in the Netherlands. The results showed that beliefs about the general and domain-specific goals of physics education formed an interrelated belief system consisting of content-oriented and student-oriented beliefs. Moreover, teachers agreed with the importance of both teacher-regulated and student-regulated learning. Therefore, research on teachers' beliefs should go beyond the often used dichotomy between ‘teacher-focused’ versus ‘student-focused’ education by focusing on the rationale behind ‘appropriate’ teaching behavior. 相似文献
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Margaret Beecher Maurer Sevim McCutcheon Theda Schwing 《Cataloging & classification quarterly》2013,51(4):277-310
Kent State University Libraries’ electronic thesis and dissertation (ETD) cataloging process features contributions by authors, by the ETDcat application, and by catalogers. Who is doing what, and how much of it is findable in the library catalog? An empirical analysis is performed featuring simple frequencies within the KentLINK catalog, articulated by the use of a newly devised rubric. The researchers sought the degree to which the ETD authors, the applications, and the catalogers can supply accurate, findable metadata. Further development of combinatory cataloging processes is suggested. The method of examining the data and the rubric are provided as a framework for other metadata analysis. 相似文献
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基于词频信息确定叙词表概念属性 总被引:2,自引:1,他引:1
认为为了提高叙词表的实用性,在叙词表编制和应用中,需要充分发挥词频信息的重要参考价值。通过总结词频信息的利用方法,包括通过词频和专业偏向度确定专业核心概念、通过词频信息确定优选词属性以及通过词频信息为概念确定范畴号。探讨对词频高低的词汇属性、优选词的重要程度、词频生命周期变化和词频使用的局限性等问题。 相似文献