排序方式： 共有136条查询结果，搜索用时 31 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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This study investigated the mediating effect of workplace social support on the relationship between trait emotional intelligence and teacher burnout among 307 Chinese middle school teachers. Structural equation modelling revealed a satisfactory fit between the data and our theoretical model. Workplace social support partially mediated the relationship between trait emotional intelligence and teacher burnout. Neither gender nor age moderated the relationship between trait emotional intelligence and teacher burnout. Emotional intelligence and workplace social support can protect teachers from teacher burnout. Thus, providing effective emotional intelligence training and creating supportive workplace conditions requires increased attention from education administrators. 相似文献
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[目的/意义] 从关键词语义类型和学术文献老化两个维度出发挖掘学术论文价值,为学者推荐符合其研究需求并在时间维度上具有较大参考意义的学术论文。[方法/过程] 首先,将学术论文关键词按语义类型进行划分|随后,基于共现关系计算同类型关键词间相似度,基于关键词相似度得到论文在语义类型上的相似度|然后,借用文献老化思想,计算不同类型论文的时间价值|最后,结合论文在语义类型上的相似度及时间价值,生成论文推荐列表从而进行推荐工作。[结果/结论] 实证结果表明,使用该方法推荐的论文,一方面与学者研究方向相符|另一方面在时间维度上也具有较大价值,推荐的论文质量较高。 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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在中国学术期刊全文数据库中,对农业科技类目中农艺学、植物保护、农作物和园艺4个学科领域刊文的 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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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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