scholarly journals Embedding-based Detection and Extraction of Research Topics from Academic Documents Using Deep Clustering

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Sahand Vahidnia ◽  
Alireza Abbasi ◽  
Hussein A. Abbass
Keyword(s):  
Extraction Method ◽  
Scientific Community ◽  
Academic Research ◽  
Benchmark Dataset ◽  
Research Topics ◽  
Concept Extraction ◽  
Research Fields ◽  
Deep Embedding ◽  
Labeling Approach

Abstract Purpose Detection of research fields or topics and understanding the dynamics help the scientific community in their decisions regarding the establishment of scientific fields. This also helps in having a better collaboration with governments and businesses. This study aims to investigate the development of research fields over time, translating it into a topic detection problem. Design/methodology/approach To achieve the objectives, we propose a modified deep clustering method to detect research trends from the abstracts and titles of academic documents. Document embedding approaches are utilized to transform documents into vector-based representations. The proposed method is evaluated by comparing it with a combination of different embedding and clustering approaches and the classical topic modeling algorithms (i.e. LDA) against a benchmark dataset. A case study is also conducted exploring the evolution of Artificial Intelligence (AI) detecting the research topics or sub-fields in related AI publications. Findings Evaluating the performance of the proposed method using clustering performance indicators reflects that our proposed method outperforms similar approaches against the benchmark dataset. Using the proposed method, we also show how the topics have evolved in the period of the recent 30 years, taking advantage of a keyword extraction method for cluster tagging and labeling, demonstrating the context of the topics. Research limitations We noticed that it is not possible to generalize one solution for all downstream tasks. Hence, it is required to fine-tune or optimize the solutions for each task and even datasets. In addition, interpretation of cluster labels can be subjective and vary based on the readers’ opinions. It is also very difficult to evaluate the labeling techniques, rendering the explanation of the clusters further limited. Practical implications As demonstrated in the case study, we show that in a real-world example, how the proposed method would enable the researchers and reviewers of the academic research to detect, summarize, analyze, and visualize research topics from decades of academic documents. This helps the scientific community and all related organizations in fast and effective analysis of the fields, by establishing and explaining the topics. Originality/value In this study, we introduce a modified and tuned deep embedding clustering coupled with Doc2Vec representations for topic extraction. We also use a concept extraction method as a labeling approach in this study. The effectiveness of the method has been evaluated in a case study of AI publications, where we analyze the AI topics during the past three decades.

Preprint paper platforms in the academic scholarly communication environment

2021 ◽  
pp. 096100062110589
Author(s):  
Artemis Chaleplioglou ◽  
Alexandros Koulouris
Keyword(s):  
Scientific Community ◽  
Scientific Discovery ◽  
Patent Application ◽  
Scholarly Communication ◽  
Academic Research ◽  
Scientific Integrity ◽  
Core Element ◽  
Web Interfaces ◽  
Research Fields ◽  
Academic Communication

Academic scholarly communication is the predominant business of researchers, scientists, and scholars. It is the core element of promoting scientific thought, investigation, and building up solid knowledge. The development of preprint platform web interfaces, server repositories of electronic scholarly papers submitted by their authors and openly available to the scientific community proposed a new form of academic communication. The distribution of a preprint of a scientific manuscript allows the authors to claim the priority of discovery, in a manner similar to the conference proceedings output, but also creates an anteriority that prevents protection by a patent application. Herein, we review the scope and the role of preprint papers platforms in academia, we explore individual cases, arXiv, SSRN, OSF Preprints, HAL, bioRxiv, EconStor, RePEc, PhilArchive, Research Square, viXra, Cryptology ePrint Archive, Preprints.org, ChinaXiv, medRxiv, JMIR Preprints, Authorea, ChemRxiv, engrXiv, e-LiS, SciELO, PsyArXiv, F1000 Research, and Zenodo, and discuss their significance in promoting scientific discovery, the potential risks of scientific integrity, as well as the policies of data distribution and intellectual property rights, the plus and minus, for the stakeholders, authors, institutions, states, scientific journals, scientific community, and the public. In this review we explore the scope and policies of the existing preprint papers platforms in different academic research fields.

scholarly journals Landscape and Tourism: Evolution of Research Topics

Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 488
Author(s):  
Mercedes Jiménez-García ◽  
José Ruiz-Chico ◽  
Antonio Rafael Peña-Sánchez
Keyword(s):  
National Parks ◽  
Web Of Science ◽  
Software Tool ◽  
Research Topics ◽  
Science Mapping ◽  
Research Fields ◽  
Complete Knowledge ◽  
Mapping Analysis ◽  
Landscape Research ◽  
Emerging Themes

Tourism and landscape are broad and complex scientific research fields, as is the synergy between them has given rise to a volume of articles diverse in nature, subject matter and methodology. These difficulties mean that, at present, there is no complete theoretical framework to support this tourism and landscape research, nor complete knowledge of its structure and organization. This motivates the present work, which constitutes the first attempt at mapping this research topic by applying bibliometric techniques using VOSviewer and Science Mapping Analysis Software Tool (SciMAT) software. A total of 3340 articles from journals indexed in Web of Science were analyzed. The results obtained confirm that interest in the study of these concepts has been growing, especially in the last decade. The main contribution of this work lies in the identification of work themes that were basic to the construction of the field but that are currently in decline, such as “cultural heritage” and other themes important to the field that should continue to be dealt with, such as “national parks” or “geotourism”. The transversal nature of sustainability that appears in the network of keywords related to currently emerging themes, such as “planning” and “environment”, is also highlighted and reinforced.

scholarly journals Social Media Use Among Young People in China: A Systematic Literature Review

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110164
Author(s):  
Lian Tang ◽  
Siti Zobidah Omar ◽  
Jusang Bolong ◽  
Julia Wirza Mohd Zawawi
Keyword(s):  
Social Media ◽  
Young People ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Media Use ◽  
Academic Research ◽  
Future Research ◽  
Research Topics ◽  
Social Media Use ◽  
Systematic Analysis

The widespread use of social media has promoted extensive academic research on this channel. The present study conducts a systematic analysis of extant research on social media use among young people in China. This systematic literature review aims to identify and bridge gaps in topics, theories, variables, and conceptual frameworks in studies of social media usage among young people in China. The study aims to develop a cause–effect framework that shows the causal relationships among research structures. The PRISMA method is used to review 20 articles drawn from the Scopus and Google Scholar databases. From the analysis, 10 major research topics, eight theories or models, and a complete framework of causal relations emerge. It is recommended that future research on social media should include a greater diversity of types of social media, investigate a wider range of research topics, and adopt different theories or models. Researchers should also implement a more complete and detailed systematic method for reviewing literature on social media research in China.

scholarly journals ‘I’m not being paid for this conversation’: Uncovering the challenges of artist–academic collaborations in the neoliberal institution

2019 ◽  
Vol 23 (3) ◽  
pp. 317-333
Author(s):  
Alena Pfoser ◽  
Sara de Jong
Keyword(s):  
Collaborative Work ◽  
Knowledge Exchange ◽  
Academic Research ◽  
The Political ◽  
Institutional Pressures ◽  
Negative Effects ◽  
Collective Response ◽  
And Shifts ◽  
The Impact

Artist–academic collaborations are fuelled by increasing institutional pressures to show the impact of academic research. This article departs from the celebratory accounts of collaborative work and pragmatic toolkits for successful partnerships, which are dominant in existing scholarship, arguing for the need to critically interrogate the structural conditions under which collaborations take place. Based on a reflexive case study of a project developed in the context of Tate Exchange, one of the UK’s highest-profile platforms for knowledge exchange, we reveal three sets of (unequal) pressures, which mark artist–academic collaborations in the contemporary neoliberal academy: asymmetric funding and remuneration structures; uneven pressures of audit cultures; acceleration and temporal asymmetries. Innovations at the level of individual projects or partners can only mitigate the negative effects to a limited extent. Instead this article offers a systemic critique of the political economy of artist–academic collaborations and shifts the research agenda to developing a collective response.

scholarly journals Virtual Geosite Communication through a WebGIS Platform: A Case Study from Santorini Island (Greece)

2021 ◽  
Vol 11 (12) ◽  
pp. 5466
Author(s):  
Federico Pasquaré Mariotto ◽  
Varvara Antoniou ◽  
Kyriaki Drymoni ◽  
Fabio Luca Bonali ◽  
Paraskevi Nomikou ◽  
...  
Keyword(s):  
Bronze Age ◽  
Scientific Community ◽  
Earth Science ◽  
State Of The Art ◽  
Immersive Virtual Reality ◽  
Geological Processes ◽  
3D Exploration ◽  
Effusive Eruptions ◽  
Lay Public

We document and show a state-of-the-art methodology that could allow geoheritage sites (geosites) to become accessible to scientific and non-scientific audiences through immersive and non-immersive virtual reality applications. This is achieved through a dedicated WebGIS platform, particularly handy in communicating geoscience during the COVID-19 era. For this application, we selected nine volcanic outcrops in Santorini, Greece. The latter are mainly associated with several geological processes (e.g., dyking, explosive, and effusive eruptions). In particular, they have been associated with the famous Late Bronze Age (LBA) eruption, which made them ideal for geoheritage popularization objectives since they combine scientific and educational purposes with geotourism applications. Initially, we transformed these stunning volcanological outcrops into geospatial models—the so called virtual outcrops (VOs) here defined as virtual geosites (VGs)—through UAV-based photogrammetry and 3D modeling. In the next step, we uploaded them on an online platform that is fully accessible for Earth science teaching and communication. The nine VGs are currently accessible on a PC, a smartphone, or a tablet. Each one includes a detailed description and plenty of annotations available for the viewers during 3D exploration. We hope this work will be regarded as a forward model application for Earth sciences' popularization and make geoheritage open to the scientific community and the lay public.

Hearing Film Music Topics outside the Movie Theatre

2021 ◽  
pp. 548-574
Author(s):  
Janet Bourne
Keyword(s):  
Statistical Analysis ◽  
Extraction Method ◽  
Film Music ◽  
Art Music ◽  
Film Scores ◽  
Western Art ◽  
Western Art Music ◽  
Movie Theatre

This chapter describes a cognitively informed framework based on analogy for theorizing cinematic listening; in this case, it tests the hypothesis that contemporary listeners might use associations learned from film music topics to make sense of western art music (WAM). Using the pastoral topic as a case study, a corpus of film scores from 1980–2014 determines common associations for this topic based on imagery, emotion, and narrative contexts. Then, the chapter outlines potential narratives a modern moviegoer might make by listening “cinematically” to a Sibelius movement. The hypothesis is empirically tested through an experiment where participants record their imagined narratives and images while listening to WAM and film music. The meaning extraction method, a statistical analysis for identifying associational themes, is used to analyze people’s responses.

Mining footprint of the underground longwall caving extraction method: A case study of a typical industrial coal area in China

2021 ◽  
pp. 127762
Author(s):  
Hengfeng Liu ◽  
Yanjun Wang ◽  
Shun Pang ◽  
Xinfu Wang ◽  
Jianguo He ◽  
...  
Keyword(s):  
Extraction Method

The state of dispositional mindfulness research

2021 ◽  
Author(s):  
Johannes Alfons Karl ◽  
Ronald Fischer
Keyword(s):  
Individual Differences ◽  
Research Output ◽  
Well Being ◽  
Trait Mindfulness ◽  
Dispositional Mindfulness ◽  
Research Topics ◽  
Network Analyses ◽  
Research Fields ◽  
Bibliometric Review ◽  
The Difference

Objectives We present a bibliometric review of research on trait mindfulness published from 2005 till 2021 to determine the current state of the field and identify research trajectories. Methods A search conducted on Jan 30, 2021 using the search terms “trait mindfulness” OR “dispositional mindfulness” in the Web of Science Core Collection identified 1,229 documents. Results Using keyword-based network analyses, the various clusters suggested two major approaches in the field, one focusing on cognitive attentional processes, and a second approach that encompasses a wider field of well-being and clinical research topics. We also increasing consolidation of research fields over time, with research on wider individual differences such as personality being subsumed into clinically and wellbeing-oriented research topics. More recently, a distinct theme focused on the validity of measurement of mindfulness emerged. In addition to general patterns in the field, we examined the global distribution of trait mindfulness research. Research output was substantially skewed towards North American-based researchers with less international collaborations. Chinese researchers nevertheless also produced research at significant rates. Comparing the difference in research topics between China and the US-based researchers we found substantial differences with US research emphasizing meditation and substance abuse issues, whereas researchers from China focused on methodological questions. Conclusions Overall, our review indicates that research on trait mindfulness might profit from conceptual and cultural realignment, with greater focus on individual differences research in other areas of psychology to complement the strong clinical and cognitive focus we well as also stronger cross-cultural and comparative studies.

Productivity analysis of education and research fields in universities of medical sciences: a case study of Iran

2021 ◽  
Vol 34 (2) ◽  
pp. 266
Author(s):  
Bahram Nabilou ◽  
Hassan Khorsandi ◽  
Ali Reza Chavshin ◽  
Aram Feizi ◽  
Hasan Yusefzadeh
Keyword(s):  
Productivity Analysis ◽  
Medical Sciences ◽  
Research Fields
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