https://github.com/shivam5992/pywordcloud-flask

Wordcloud using words from websites in python
https://github.com/shivam5992/pywordcloud-flask

Last synced: 1 day ago
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Wordcloud using words from websites in python

• Host: GitHub
• URL: https://github.com/shivam5992/pywordcloud-flask
• Owner: shivam5992
• License: mit
• Created: 2014-01-22T20:30:59.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2014-06-13T17:50:08.000Z (over 10 years ago)
• Last Synced: 2024-04-16T03:51:50.507Z (8 months ago)
• Language: Python
• Homepage:
• Size: 203 KB
• Stars: 4
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
WordTagCloud

============

WordTagCloud creates a word cloud by collecting the words having most frequency from a webpage. The words are refined and processed before producing the output. The words with maximum frequency are shown in bigger font size as compared to those having less frequency. 

Improved Version: PyWordCloud Python Package:

(https://github.com/shivam5992/pywordcloud)

###Algorithm to calculate font size based on frequency

```python

fontMax = 5.5

fontMin = 1.5

K = (freqTag - minFreq)/(maxFreq - minFreq)

frange = fontMax - fontMin

C = 4            

K = float(freqTag - minFreq)/(maxFreq - minFreq)

size = fontMin + (C*float(K*frange/C))

```

Licence

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MIT

Live Demo

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[WordTagCloud](http://wordtagcloud.herokuapp.com)