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1.
李慧  胡吉霞 《图书情报工作》2020,64(18):114-125
[目的/意义] 针对包含单一类型知识单元的知识网络难以全面反映学科知识结构的问题,提出一种从多维度进行知识网络结构融合的方法,为学科领域知识结构挖掘提供借鉴。[方法/过程] 利用LDA及TF-IDF方法抽取学科知识单元,然后运用语义相似度和关键词共现分析方法构建3个学科知识子网络:主题网络、关键词网络和实体网络,并采用空间节点传递对齐方法对齐子网络节点,接着设计基于图卷积操作的自编码模型对知识节点进行表示,最后通过计算余弦相似度重构学科知识网络。[结果/结论] 实验部分以人工智能领域为例,构建融合主题、关键词和实体的学科知识网络并展开分析,实验结果表明,本文所提方法能有效地揭示学科领域研究内容和知识结构,为学科知识发现与组织研究提供有益参考。  相似文献   
2.
《Sport Management Review》2020,23(5):824-837
The purpose of this study was to explore nostalgia’s effect on MiLB spectators’ psychological, emotional, and behavioral responses. Mobile encephalography (EEG) headsets were used to monitor attendees’ neurological responses that may be indicative of nostalgia, while an ecological momentary assessment (EMA) permitted the capturing of spectators’ self-reported nostalgic levels. This approach allowed participants’ mental scores to be analyzed in relationship to their nostalgic occurrences. Brainwave frequencies emblematic of inward attention and arousal were significantly related with the number of instances spectators reported feeling nostalgic, which denote mental dispositions prevalent among attendees more prone to nostalgia. Moreover, PROCESS macro regression highlighted nostalgia’s ability to influence spectators’ behavioral intentions. Results also revealed environmental stimuli originating from sight, sound, and sociability to be especially prominent in triggering nostalgia. Overall, the study’s findings reveal unique characteristics present in baseball that render both immediate and enduring effects.  相似文献   
3.
金丹元  陈莎 《美育学刊》2020,11(2):47-54
2019年正值新中国成立70周年,我国电视剧创作出产了许多革命历史题材和现实主义电视剧佳作,同时网络剧也开始从边缘走向中心,成为观众喜闻乐见的电视剧形式。通过梳理、概括国内重要的学术期刊、报纸和会议论文中关于电视剧研究的文章,并从内容创作、美学价值、类型特点和女性塑造等几个方面进行解读,可以归纳出本年度电视剧研究的热点和焦点,同时也提出了对电视剧研究新动向的一些看法,以期为电视剧研究和创作提供借鉴。  相似文献   
4.
因果要素关联视域下社交媒体倦怠用户画像模型构建   总被引:1,自引:1,他引:0  
[目的/意义]探究社交媒体倦怠的原因要素和结果要素标签,分析各要素间的相互作用关系,扩展用户信息行为的理论研究范畴,为企业深入了解用户社交媒体倦怠发展态势提供指导。[方法/过程]基于信息生态理论,提取"信息人、信息、信息环境和信息技术"4个信息生态因子维度的社交媒体用户画像标签;根据用户心理特征和行为表现,抽取用户画像情感和行为标签,构建社交媒体倦怠用户画像模型。[结果/结论]透过社交媒体用户消极使用和负面情感变化的典型社会现象,对用户画像模型进行整合分析与关系凝练,证明本研究社交媒体倦怠用户画像模型与S-S-O理论框架具有一致性,并根据实际进行理论上的拓展和应用。  相似文献   
5.
[目的/意义]大规模在线开放课程论坛具有丰富的用户评论数据。从大量未区分的评论数据中,自动识别出知识密度较高的探索型对话并挖掘其潜在价值,对于改善教师教学质量以及提高学生知识水平具有重要影响。[方法/过程]首先利用GloVe方法训练词向量,加强对文本语义的理解,然后利用卷积神经网络自动学习文本特征,提出一种基于深度学习的探索型对话自动识别模型,并在学堂在线平台《心理学概论》课程论坛标注数据集上进行实证与对比研究。[结果/结论]实验结果显示,利用GloVe方法预训练词向量以及在训练过程中不断对词向量进行学习修正能够提高模型效果。该模型识别探索型对话的F1值为0.94,相较于传统的朴素贝叶斯方法(0.88)、逻辑斯谛回归方法(0.89)、决策树方法(0.88)以及随机森林方法(0.88)取得较大提升,具有较高的实用性和较低的学习成本。  相似文献   
6.
BackgroundCompassion fatigue (i.e., a worker’s diminished ability to empathize with clients) is common among “helping workers” and can result in psychological detachment from clients as a coping mechanism.ObjectiveIn the present research, we explored the relationship between social workers’ compassion fatigue and years of job experience on hypothetical child custody case judgments.Participants and settingIn two separate studies, individuals with experience working with children in child dependency court (predominantly social workers, Study 1: N = 173, Study 2: N = 119) were recruited on Amazon’s Mechanical Turk and read a vignette depicting a mother attempting to regain custody.ResultsSupporting hypotheses, compassion fatigue significantly mediated the relationship between increased years of social worker job experience on recommendations that a neglectful mother receive custody, Indirect Effect = .06, CIs [.026, .127] (Study 1). We also found preliminary support for our hypothesized theoretically derived serial path model, in which (a) social worker compassion fatigue predicts anticipated secondary traumatic stress associated with the child neglect case, B = .54, p = .0001; (b) secondary traumatic stress predicts detachment from the neglected child, B = .27, p = .0003; (c) detachment from the child predicts job efficacy cynicism B = .65, p < .0001; and (d) job efficacy cynicism predicts decisions to allocate custody to the neglectful mother, B = .46, p = .005 (Study 2).ConclusionOur research shows that compassion fatigue among social workers may change the lens through which they perceive cases of child abuse.  相似文献   
7.
The progressively global, neoliberal, privatised, and digital education environment poses new methodological challenges for educational researchers, prompting a need to innovate. It has been suggested, however, that better commentary and reflection on methodological innovation in education is required. This paper considers the benefits and challenges associated with the use of network ethnography, one methodological approach that has emerged to address new social complexities. We explain the rationale for, and process of, this methodology through reference to an illustrative case: a network ethnography of the outsourcing of Health and Physical Education (HPE) curricular work to external providers. In doing this we map and critique three interrelated activities (i.e. Internet searches, interviews, and network diagram construction) that constituted our network ethnography. The discussion turns to how network ethnography allowed us to access new knowledge about the outsourcing of HPE curricular work to external providers by, for example, facilitating us in asking different questions, and foregrounding various stakeholders, networks and relationships that we may not have discovered had we relied on other approaches. This illustrative case demonstrates the capacity of network ethnography to generate rich data and offers a provocation for educational researchers to consider expanding their methodological repertoire.  相似文献   
8.
ABSTRACT

This article suggests that situations in which multiple research teams are convened under similar conditions present an opportunity to discover factors that lead to productive collaboration. It argues that social network analysis of research team outputs becomes more valuable when paired with data about research participant perceptions; and that any variables used as indicators of collaboration need to be calibrated using datasets from multiple studies with cross-team comparisons. The article provides an example of the kind of methodology needed to achieve this, describing a study with data from four research teams based at an Australian university campus, reporting their research performance over four years under conditions in which many variables were controlled and with results augmented by a survey of participant perceptions. Findings from the study indicate that there were exceptions to hypothesized associations between participant perceptions of collaboration and specific social network analysis measures over co-authorship data. The article suggests that, given the methodological challenges of studying research teams in the field, multiple datasets combining findings such as those in the present study are a path towards the development of indicators of productive higher education research collaboration.  相似文献   
9.
Aspect-based sentiment analysis aims to determine sentiment polarities toward specific aspect terms within the same sentence or document. Most recent studies adopted attention-based neural network models to implicitly connect aspect terms with context words. However, these studies were limited by insufficient interaction between aspect terms and opinion words, leading to poor performance on robustness test sets. In addition, we have found that robustness test sets create new sentences that interfere with the original information of a sentence, which often makes the text too long and leads to the problem of long-distance dependence. Simultaneously, these new sentences produce more non-target aspect terms, misleading the model because of the lack of relevant knowledge guidance. This study proposes a knowledge guided multi-granularity graph convolutional neural network (KMGCN) to solve these problems. The multi-granularity attention mechanism is designed to enhance the interaction between aspect terms and opinion words. To address the long-distance dependence, KMGCN uses a graph convolutional network that relies on a semantic map based on fine-tuning pre-trained models. In particular, KMGCN uses a mask mechanism guided by conceptual knowledge to encounter more aspect terms (including target and non-target aspect terms). Experiments are conducted on 12 SemEval-2014 variant benchmarking datasets, and the results demonstrated the effectiveness of the proposed framework.  相似文献   
10.
In social networking services (SNSs), users’ unclear understanding of the large and invisible audience increases the chances of online turbulence, which is a key source of SNS-induced stress. This growing phenomenon has gained increasing attention in academia and industry due to the undesirable consequences for users and SNS platforms. In this study, we draw from the transactional model of stress to examine how audience management strategies impact online turbulence and lead to neglected unintended audience concern and lurking. We also investigate the role of self-monitoring as a stress inhibitor. We test our model with data collected from 301 SNS users. The results show that the four types of audience management strategies have different effects on online turbulence, which significantly impacts neglected unintended audience concern especially when users have high self-monitoring skills. We believe that this work contributes, both from scientific and practical standpoints, to the understanding of the interventions and stressful responses of online turbulence in SNSs.  相似文献   
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