Sentiment Classification w/ Naive Bayes + JAVA + Laplace Smoothing + Handle Underflow

Sentiment Classification w/ Naive Bayes + JAVA + Laplace Smoothing + Handle Underflow

00:10 demo the app. 00:40 what is sentiment classification  01:15 sentiment classification w/ multinomial naive bayes  01:55 what is bag-of-words vocabulary set  02:00 what is Add-1 Laplace Smoothing  02:55 handling Numerical Underflow  03:42 what is logprior  03:55 what is loglikelihood  05:00 code the app.  07:32 calculate prior probabilities  08:15 handling matrix operations 09:00 calculate conditional probabilities  10:00 classify a new document  10:16 handle command line entries  10:52 test run the app. without the display code  11:48 add display code  12:27 test run the app. -------------------------------------------------------------------------------------------- quickly download, import into Eclipse, and run zip file for 'Naive Bayes w/ JAVA Tutorial 02 - Sentiment Classification' --------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------- download source code @ https://sites.fastspring.com/prototypeprj/instant/2020 download source code @ https://sites.fastspring.com/prototypeprj/instant/all -----------------------------------------------------------------------------------------------------------