Wikipedia, Dead Authors, Naive Bayes and Python
Authors | Abhaya Agarwal |
Talk Type | talk |
Level | Intermediate |
Topic | Data Analysis / Engineering with Python |
Tags | Text Classification, Wikipedia Mining, Machine Learning |
Summary
This talk is about using one of the simplest to understand machine learning algorithm, Naive Bayes Classifier. We will use it for classifying Wikipedia pages. We will look at the available implementations in NLTK and Scikits.learn.
Outline
- Introduction of the classification task
- Brief introduction to Naive Bayes Classifier
- Using the NB classifier available in NLTK
- Using the NB classifier available in Scikits.learn
- Demo
Notes
Profile of the authors
I currently build stuff at Pothi.com and wisdomtap.com.
I discovered Python 2 years ago and have been digging it since. I have experience in using Python for web development, text processing, machine learning & as a handy tool for everyday automation. I consider Python to be an ideal first computer language and wish more places used it for their introduction to programming courses.
Files
file | size | uploaded | comment |
---|---|---|---|
Being-Naive-conf.odp | 694.9 KB | september 19, 2011 | The Final slides used in presentation |
Being-Naive-online.pdf | 943.7 KB | september 13, 2011 |
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