Tag: Text Mining

#8 Multinomial Naive Bayes Classifier: Predicting Spams

Post author By quibdev
Post date December 4, 2020
Categories In Project Diary, Text Mining

In this assignment, I was given a labeled dataset containing spam and not-spam text messages. My task was to create a model that could reliably tell between the two. I stumbled upon this project while finishing my text-mining and analytics course at Coursera. To keep it short, things didn’t go exactly as planned. One google […]

#3 Feature Extraction: Dates From Data.

Post author By quibdev
Post date October 16, 2020
Categories In Project Diary, Text Mining

The following is a part of my text mining project log completed during the applied text mining in python course from Coursera. Premise This time around, I was given a messy medical data (aka. Unstructured) and was tasked to extract relevant information from it using python’s regex libraries. These “relevant information” refer to the many […]