Two Important Methods of Text Mining and Simple Visualization Techniques in Suggestions of Single Sided Defines

Our aim in this work is to apply text mining and novel visualization techniques to textual data derived from online health discussion forums in order to better understand consumers experiences and perceptions of electronic cigarettes and hookah.

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What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques

Journal of Medical Internet Research ◽

10.2196/jmir.4517 ◽

2015 ◽

Vol 17 (9) ◽

pp. e220 ◽

Cited By ~ 39

Author(s):

Annie T Chen ◽

Shu-Hong Zhu ◽

Mike Conway

Keyword(s):

Text Mining ◽

Online Communities ◽

Electronic Cigarettes ◽

Visualization Techniques

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Exploring the Context of Pioneer Missionary in Northern Taiwan by Analyzing George Leslie Mackay's Diary

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.411-414.86 ◽

2013 ◽

Vol 411-414 ◽

pp. 86-89

Author(s):

Leuo Hong Wang

Keyword(s):

Content Analysis ◽

Text Mining ◽

Data Visualization ◽

Computational Techniques ◽

Missionary Work ◽

Analysis Methodology ◽

Visualization Techniques ◽

Northern Taiwan

George Leslie Mackay (1844-1901), the first Presbyterian missionary to northern Taiwan, is considered to be one of the most important persons who influence the development of education and medicine in Taiwan. Recently, the manuscripts written by Mackay which detailed his work from 1871 to 1901 in Taiwan have been computerized and published as Mackays diaries. Researchers who are interested in historical topics concerning religious, educational and medical development in Taiwan hence concentrate their attention on these materials. However, little research applied computational techniques to analyze the content of the diaries. That motivated us to apply text mining techniques to explore the content of diaries. The content analysis methodology was used in this research to unveil the context of Mackays missionary work in northern Taiwan. Finally, the context was presented by data visualization techniques.

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Predicting spatial activity patterns in a neural map from a probabilistic atlas of 3-D reconstructed neurons

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100140439 ◽

1995 ◽

Vol 53 ◽

pp. 812-813

Author(s):

G. Jacobs ◽

F. Theunissen

Keyword(s):

Activity Patterns ◽

Three Dimensional ◽

Sensory System ◽

Neural System ◽

Probabilistic Atlas ◽

Uniform Sample ◽

Dimensional Reconstruction ◽

The Time Domain ◽

And Function ◽

Visualization Techniques

In order to understand how the algorithms underlying neural computation are implemented within any neural system, it is necessary to understand details of the anatomy, physiology and global organization of the neurons from which the system is constructed. Information is represented in neural systems by patterns of activity that vary in both their spatial extent and in the time domain. One of the great challenges to microscopists is to devise methods for imaging these patterns of activity and to correlate them with the underlying neuroanatomy and physiology. We have addressed this problem by using a combination of three dimensional reconstruction techniques, quantitative analysis and computer visualization techniques to build a probabilistic atlas of a neural map in an insect sensory system. The principal goal of this study was to derive a quantitative representation of the map, based on a uniform sample of afferents that was of sufficient size to allow statistically meaningful analyses of the relationships between structure and function.

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