Introduction
We create this project to investigate and explore the google book datasets. I worked on it under the supervision of Prof. Michael Gleicher. The idea of this project is initially raised by Michael Gleicher.
All samples here are online live, supported by the back-end database, you can play with them.
Server [+more]
Web Search Service [+more]
Sentence Visualization
http://sepc111.se.cuhk.edu.hk:8080/gbooks/sent/sen.php
http://sepc111.se.cuhk.edu.hk:8080/gbooks/sent/
Description:
Phrase and phrase are separated by ','.
About Data
Here is a page for the Data quality:
http://pages.cs.wisc.edu/~lixiujun/samples/gbooks/data
Sample homepage:
http://pages.cs.wisc.edu/~lixiujun/samples/gbooks/data
Here is graph search engine for word counts by year, decade, century:
http://sepc111.se.cuhk.edu.hk:8080/gbooks/wordcent/
Sample homepage:
http://pages.cs.wisc.edu/~lixiujun/samples/gbooks/wordcent
Normalized Data:
http://sepc111.se.cuhk.edu.hk:8080/gbooks/nm/fre.php
Sample homepage:
http://pages.cs.wisc.edu/~lixiujun/samples/gbooks/fre
Description:
Try to magnify and shrink some influence for the factors, like book num, and focus on the interested time period.
Example: Top10 by my algorithm
thefe, fuch, fome, moft, muft, firft, fhould, himfelf, againft, themfelves
Description:
Pop, aggregate the interesting word, and appear on the top of the datasets.
Applications
Sentence
http://sepc111.se.cuhk.edu.hk:8080/gbooks/sent/
http://sepc111.se.cuhk.edu.hk:8080/gbooks/sent/sen.php
Description:
Phrase and phrase are separated by ','.
3Grams Words
http://sepc111.se.cuhk.edu.hk:8080/gbooks/3grams/
Sample homepage:
http://pages.cs.wisc.edu/~lixiujun/samples/gbooks/3grams
Multi-words Search Graph
http://sepc111.se.cuhk.edu.hk:8080/gbooks/multiwords.php
Sample homepage:
http://pages.cs.wisc.edu/~lixiujun/samples/gbooks/multiwords
Description:
Phrase and phrase are separated by ','.
Words Percent
A pie chart to show the word count by year, decade, century.
Sample homepage:
http://pages.cs.wisc.edu/~lixiujun/samples/gbooks/wordcent
Words Tree
To explore the co-relation between character strings.
Application homepage:
http://sepc111.se.cuhk.edu.hk:8080/gbooks/wordtree/
Sample homepage:
http://pages.cs.wisc.edu/~lixiujun/samples/gbooks/wordtree
Words Ring
To explore the co-relation between character strings.
Application homepage:
http://sepc111.se.cuhk.edu.hk:8080/gbooks/wordring/
Sample homepage:
http://pages.cs.wisc.edu/~lixiujun/samples/gbooks/wordring
Events Detection with Usage frequency [url]
An Example: Olympics
http://sepc111.se.cuhk.edu.hk:8080/gbooks/search.php?keyword=Olympics&submit=Search+Graph
Description:
In the small trend graph, we can see some striking points (topper than its surrounding points.)
From the large detailed trend graph, we can get more accurate information, these points are:
1976's Montreal Summer Olympics, 1980's Moscow, 1988's Seoul, 1996's Atlanta, 2000's Sydney, 2004's Athens.
An Example: Bush
http://sepc111.se.cuhk.edu.hk:8080/gbooks/search.php?keyword=Bush&submit=Search+Graph
Description:
In the small trend graph, we can see two peaks:
One is in George H. W. Bush's administration period (1989-1993), and the other is in George W. Bush's administration (2001-2009).
More interesting examples, please here.
Examples
A test sample
http://pages.cs.wisc.edu/~lixiujun/samples/gbooks/test/sample
Description:
This is my first, very very simple sample, I test it just for the google dataset to see whether there is any great, interesting graphs to explore.
1-grams word history trend Text Search
http://sepc111.se.cuhk.edu.hk:8080/gbooks/
Description:
A Text Search Engine for World history trend.
