Skip to content

larsmans/weighwords

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

32 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

WeighWords is a Python library for creating word weights from text. It can be used to create word clouds.

WeighWords does not do visualization of word clouds. For that, you can paste its output into a tool like http://wordle.net or the IBM Word-Cloud Generator.

Rather than use simple word frequency, it weighs words by statistical models known as parsimonious language models. These models are good at picking up the words that distinguish a text document from other documents in a collection. The downside to this is that you can't use WeighWords to make a word cloud of a single document; you need a bunch of document to compare to.

Installation

Either:

pip install weighwords

or:

python setup.py install

References

D. Hiemstra, S. Robertson and H. Zaragoza (2004). Parsimonious Language Models for Information Retrieval. Proc. SIGIR'04.

R. Kaptein, D. Hiemstra and J. Kamps (2010). How different are Language Models and word clouds? Proc. ECIR.

About

Python library for creating word clouds from text

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages