How to Improve Semantics Understanding of Word Clouds

2019 ◽  
Author(s):  
Lu Yang ◽  
Jie Li ◽  
Wenhuan Lu ◽  
Yi Chen ◽  
Kang Zhang ◽  
...  
Keyword(s):  
Word Clouds

scholarly journals AB1304-HPR KNOWLEDGE OF HIGH SCHOOL STUDENTS ABOUT RHEUMATIC DISEASES: EFFECT OF AN EDUCATIONAL SESSION JOINTLY PROVIDED BY PORTUGUESE EULAR ASSOCIATIONS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1942.2-1943
Author(s):  
G. Pimentel ◽  
A. Marques ◽  
R. Ferreira ◽  
E. Mateus ◽  
A. Pais
Keyword(s):  
High School ◽  
Primary Care ◽  
Health Care ◽  
High School Students ◽  
Primary Schools ◽  
Wilcoxon Test ◽  
School Students ◽  
Educational Session ◽  
Awareness Campaigns ◽  
Word Clouds

Background:International studies have shown that the awareness and knowledge of the general population about rheumatic and musculoskeletal diseases (RMDs) is poor. This is even lower in the young population, which are also affected by these disease but do not have as much awareness campaigns as adult community. Their professors and primary health care professionals may also play here also a key role, promoting early detection of signs and interpretations of symptoms, thus avoiding late health care referrals and diagnosis. (Vlieland, 2016).Objectives:To assess the knowledge of high school Portuguese students about the RMDs and raise awareness for RMDs in young people, their professors, vigilants, and primary care nurses, within the school environment.Methods:A 1-hour educational session about RMDs was planned (with the inputs from members of the Portuguese EULAR Associations) and performed during school activities. The educational session started with a knowledge questionnaire about RMDs in a paper sheet (9 questions; Graph 1), repeated in the end. An interactive session, using slides, interactive questions (Sli.do®), and practical demonstrations to simulate RMD symptoms (e.g. stiffness and functional limitations) was then lead by a rheumatology nurse, with the testimony from a young patient representative. A primary care nurse assisted in order to be engaged and promote future sessions (“autonomously”). Change in knowledge was assessed with Wilcoxon-test and awareness was documented with “word clouds” (using Sli.do®).Results:A total of 75 students participated in four sessions (mode=16 years). Half of students (52%) had never heard about RMDs. Knowledge increased significantly in all questions (p<0.001; Graph 1). Figures 1 and 2 document the most common words representing what defines a RMD and what are the main symptoms, respectively.Conclusion:Our results confirm that awareness and knowledge about RMDs are very low high school students. The single and educational session was very well received by all students, and the the knowledge increased. Post-educational feedback was that students especially liked the testimony of a peer. Other sessions are taking place in primary schools.References:[1]Vlieland, T. P., et al. RMD Open, 2016;2:e000337. doi:10.1136/rmdopen- 2016-000337Acknowledgments:To European League Against Rheumatism for the founding provided through the campaign “Don’t Delay, Connect Today”.Disclosure of Interests:None declared

scholarly journals Wormicloud: a new text summarization tool based on word clouds to explore the C. elegans literature

Database ◽  
2021 ◽  
Vol 2021 ◽  
Author(s):  
Valerio Arnaboldi ◽  
Jaehyoung Cho ◽  
Paul W Sternberg
Keyword(s):  
Search Engines ◽  
Complex Structure ◽  
Model Organism ◽  
Gene Interaction ◽  
Relevant Information ◽  
Biomedical Literature ◽  
C Elegans ◽  
Word Clouds ◽  
Scientific Papers ◽  
Model Organism Databases

Abstract Finding relevant information from newly published scientific papers is becoming increasingly difficult due to the pace at which articles are published every year as well as the increasing amount of information per paper. Biocuration and model organism databases provide a map for researchers to navigate through the complex structure of the biomedical literature by distilling knowledge into curated and standardized information. In addition, scientific search engines such as PubMed and text-mining tools such as Textpresso allow researchers to easily search for specific biological aspects from newly published papers, facilitating knowledge transfer. However, digesting the information returned by these systems—often a large number of documents—still requires considerable effort. In this paper, we present Wormicloud, a new tool that summarizes scientific articles in a graphical way through word clouds. This tool is aimed at facilitating the discovery of new experimental results not yet curated by model organism databases and is designed for both researchers and biocurators. Wormicloud is customized for the Caenorhabditis  elegans literature and provides several advantages over existing solutions, including being able to perform full-text searches through Textpresso, which provides more accurate results than other existing literature search engines. Wormicloud is integrated through direct links from gene interaction pages in WormBase. Additionally, it allows analysis on the gene sets obtained from literature searches with other WormBase tools such as SimpleMine and Gene Set Enrichment. Database URL: https://wormicloud.textpressolab.com

scholarly journals Green Packaging from Consumer and Business Perspectives

2021 ◽  
Vol 13 (3) ◽  
pp. 1356
Author(s):  
Gonzalo Wandosell ◽  
María C. Parra-Meroño ◽  
Alfredo Alcayde ◽  
Raúl Baños
Keyword(s):  
Sustainable Development ◽  
Raw Materials ◽  
Research Activity ◽  
Word Clouds ◽  
Climate Action ◽  
Green Packaging ◽  
Materials Used ◽  
Societal Challenge ◽  
Corporate Social ◽  
The Impact

Sustainable development is a global objective that aims to address the societal challenge of climate action, the environment, resource efficiency, and raw materials. In this sense, an important strategy is the promotion of green packaging, that is, the use of sustainable materials and designs for the packaging of goods. In recent years, many research works have been published in the specialised area covering the different perspectives and dimensions of green packaging. However, to our knowledge, no previous investigations have analysed the research activity on green packaging from business and consumer perspectives. The present study intends to fill this gap by analysing all of the publications found in the Scopus database with the help of visual analytic tools, including word clouds and Gephi network visualization software. More specifically, our study analyses the impact of green packaging from business and consumer viewpoints, including some specific issues such as the design and materials used in green packaging, green packaging costs, marketing strategies and corporate social responsibility related to green packaging, and the impact of green packaging in waste management, the circular economy, logistics, and supply chain management. The results obtained reveal the growing interest of scholars and researchers in all of these dimensions, as is made patently clear by the increasing number of journal publications in recent years. The practical implications of this study are significant, given the growing awareness among companies and consumers about the importance of the promotion of sustainable development through green packaging alternatives. More specifically, the results of this research could be very useful for all of those agents who are interested in learning about the main lines of research being developed in the field of green packaging.

Word clouds: presenting student feedback to clinical teachers

2018 ◽  
Vol 52 (11) ◽  
pp. 1208-1209
Author(s):  
Adam Stott ◽  
Stephanie Zamoyski ◽  
Hugh Alberti
Keyword(s):  
Student Feedback ◽  
Clinical Teachers ◽  
Word Clouds

Using word clouds to Re‐envision letters of recommendation for residency applicants

2018 ◽  
Vol 129 (9) ◽  
pp. 2026-2030 ◽  
Author(s):  
Sinehan B. Bayrak ◽  
Jennifer A. Villwock ◽  
Mark R. Villwock ◽  
Alexander G. Chiu ◽  
Kevin J. Sykes
Keyword(s):  
Word Clouds ◽  
Letters Of Recommendation

scholarly journals Internal Tremors and Vibration Symptoms Among People with Post-Acute Sequelae of SARS-CoV-2: A narrative review of patient reports

2021 ◽  
Author(s):  
Daisy Massey ◽  
Anna D Baker ◽  
Diana Zicklin Berrent ◽  
Nick Güthe ◽  
Suzanne Pincus Shidlovsky ◽  
...  
Keyword(s):  
Qualitative Data ◽  
Comparative Method ◽  
Initial Symptom ◽  
Symptom Experience ◽  
Patient Reports ◽  
Common Coding ◽  
Patient Narratives ◽  
Prominent Component ◽  
Word Clouds ◽  
Patient Advocacy Group

AbstractTo introduce the perspective of patients who have PASC with vibrations and tremors as a prominent component, we leveraged the efforts by Survivor Corps, a grassroots COVID-19 patient advocacy group, to gather information from people in their Facebook group suffering from vibrations and tremors. Survivor Corps collected 140 emails and 450 Facebook comments from members. From the emails, we identified 22 themes and 7 broader domains based on common coding techniques for qualitative data and the constant comparative method of qualitative data analysis. Facebook comments were analyzed using Word Clouds to visualize frequency of terms. The respondents’ emails reflected 7 domains that formed the basis of characterizing their experience with vibrations and tremors. These domains were: (1) symptom experience, description, and anatomic location; (2) initial symptom onset; (3) symptom timing; (4) symptom triggers or alleviators; (5) change from baseline health status; (6) experience with medical establishment; and (7) impact on people’s lives and livelihood. There were 22 themes total, each corresponding to one of the broader domains. The Facebook comments Word Cloud revealed that the 10 most common words used in comments were: tremors (64), covid (55), pain (51), vibrations (43), months (36), burning (29), feet (24), hands (22), legs (21), back (20). Overall, these patient narratives described intense suffering, and there is still no diagnosis or treatment available.

scholarly journals Perceptions of Auditor Negligence: The Effects of Big Data Visualisations on Jurors’ Decisions

2021 ◽  
Author(s):  
◽  
Travis Christensen
Keyword(s):  
Social Media ◽  
Big Data ◽  
Data Collection ◽  
Jury Verdicts ◽  
Word Clouds ◽  
Audit Litigation ◽  
Different Types ◽  
Different Sources ◽  
Bar Graphs

<p>This study analyses the effects of Big Data visualisations on jurors’ decisions in audit litigation cases. Specifically, the study investigates the effects of different types of Big Data visualisations (word clouds or bar graphs) and different sources of Big Data (emails or social media posts) on jurors’ perceptions of auditors’ work and the size of the negligence awards that jurors recommend. The study theorises that the emotions elicited and the reliability of the data used to create visualisations such as word clouds will have dramatic effects on jury verdicts in audit negligence trials. There is considerable literature to support this assertion. However, after data collection, it was discovered that jurors are not influenced by the emotions elicited by visualisations. Rather, participants were very sceptical of more novel types of visualisations, such as word clouds, but could be persuaded by the inherent emotions elicited and the reliability of the data if they found the visualisation useful.</p>

scholarly journals The Power of Social Media Analytics: Text Analytics Based on Sentiment Analysis and Word Clouds on R

2018 ◽  
Vol 22 (1/2018) ◽  
pp. 25-38
Author(s):  
Ahmed Imran KABIR ◽  
Ridoan KARIM ◽  
Shah NEWAZ ◽  
Muhammad Istiaque HOSSAIN
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Social Media Analytics ◽  
Text Analytics ◽  
Word Clouds

scholarly journals Extraction of Key Motifs as a Preview from 2017 Nobel Prize Winning Novel, ‘Never Let Me Go’

2021 ◽  
Vol 7 (2) ◽  
pp. 83-98
Author(s):  
Zafar Ullah ◽  
Muhammad Uzair ◽  
Arshad Mehmood
Keyword(s):  
Knowledge Discovery ◽  
Mixed Method ◽  
Statistical Data ◽  
The Other ◽  
Human Cognition ◽  
The Novel ◽  
Learning Tools ◽  
Indelible Mark ◽  
Word Cloud ◽  
Word Clouds

Word clouds manifest interactive visuals along with their statistical data. Thus knowledge discovery and aesthetic data visualization interlink to produce interactive word cloud which is an interesting, textual, statistical and visual data. This study aims to generate interactive word cloud—Cirrus—on the basis of statistical data to preview text of the novel for readers. So cirrus tool is selected from Voyant open access tools to produce interactive statistical word cloud. Then the generated word cloud and statistical data are analyzed with mixed method and its analysis draws insight from Rakesh Aggrawal’s Knowledge Discovery Theory which seeks innovative and interesting knowledge patterns. This thematic word cloud verifies already known themes and discovers innovative interesting themes. Current study reveals that all mentioned key themes can be easily extracted from a voluminous novel with the help of Cirrus tool. Key motifs have been presented in the word cloud for the readers. On the other hand, unwritten themes can’t be extracted through machine learning tools, rather it is the task of human cognition. Primarily, this novel based study reveals names of chief characters, for instance “Tommy (496),” “Ruth (455)” and “I (Kathy) (355).” Furthermore, motifs of nostalgic memories with word “remember (143),” “thought (126)” about “Hailsham (203),” “carer (74),” “sex (80),” sex “lectures (8)” have been discovered as a preview. Previewing technique prepares reader’s mind and gives an epigrammatic digital view of the text. The visual themes as knowledgeable word cloud leave an indelible mark on the slate of memory.

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