Stable Word-Clouds for Visualising Text-Changes Over Time

Herold, Elisa; Pöckelmann, Marcus; Berg, Christian; Ritter, J.; Hall, Mark

doi:10.1007/978-3-030-30760-8_20

Cited by 5 publications

(2 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Word clouds are a valuable tool for providing overviews of texts and visualizing relevant words (Herold et al, 2019). Word Cloud was based on the author's keywords for CM research between 2002 and 2022.…”

Section: Word Cloudmentioning

confidence: 99%

Global bibliometric analysis of conceptual metaphor research over the recent two decades

Zhao

Zheng²,

Zhao³

2023

Front. Psychol.

View full text Add to dashboard Cite

Conceptual Metaphor has been a prevalent theme in the linguistic field for the recent twenty years. Numerous scholars worldwide have shown interest in it and published many academic papers from various stances on this topic. However, so far, there have been few rigorous scientific mapping investigations. With the help of bibliometric analysis tool, we selected 1,257 articles on Conceptual Metaphors published from 2002 to 2022, as collected in the Web of Sciences Core Collection database, from unique cognitive perspectives. The global annual scientific output of Conceptual Metaphor, including the cited articles, sources, keywords, and research trends, will be examined in this study. The most notable findings of this study are the following. First, there has been an upward trend in Conceptual Metaphor research over the last two decades. Second, the five most prominent research groups on Conceptual Metaphors are in Spain, the United States of America, China, Great Britain, and Russia. Third, future research on Conceptual Metaphors may focus on corpus linguistics, neurolinguistics, psychology, and critical discourse analysis. The interdisciplinary study may enhance the growth of Conceptual Metaphors.

show abstract

Section: Word Cloudmentioning

confidence: 99%

Global bibliometric analysis of conceptual metaphor research over the recent two decades

Zhao

Zheng²,

Zhao³

2023

Front. Psychol.

View full text Add to dashboard Cite

show abstract

“…Seyfert 等 [6] 以动画词云的方式, 通过单词的大小、颜色和旋转角度展现出文档的词频变化, 通过改进的螺线方法得到一个紧凑的布局. Herold 等 [8] 提出一种快速生成一系列时序词云的算法, 使用词的正交性确定能够共享相同空间的单词; 结合基于螺线的布局算法, 使生成的时序词云保持最大程度的稳定性, 并可以应用于在线、动态的场景中.…”

unclassified

Visual Analysis System for Search Trend Data

Cheng¹,

Wang²

2021

J Comput-Aided Design Comput Graphics

View full text Add to dashboard Cite

A visual analysis system called STVAS is presented to help users explore and analyze data collected from search engines, which includes data collection and preprocessing, calculation of streamgraph, generation of streamlines and text placement, along with interactive analysis. It presents a visualization method that combines streamgraph and text to reveal search trends and hotspots. To guide the text placement within streamgraph, this system uses a novel layout algorithm with streamlines generated from the vector field inside the streamgraph. In addition, a set of interactions is offered to help user explore and analyze data on different levels. Quantitative evaluation of the visualization method is made on five blog datasets, and case studies on two real search datasets.The results demonstrate that this system can help users understand the evolving pattern of search engine data, discover the implicit search trends, and quickly grasp public opinions from the Internet.

show abstract