Skip to content

MuhammadAbdullah-hash/NLP-for-text-classification

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 

Repository files navigation

NLP-for-text-classification

Welcome Back ! This Model is trained to classify a data set of tweets as "Disastorous" or "Non-Disastrous". I have trained my model using KAGGLE Data set. I am Attaching train.csv , and test.csv files. Training data consist of about 8000 tweets and test data contains almost 3400 tweets. Model classifies 80 % of tweets correctly. We can increase accuracy of model by cahnging number of epohcs and embedding layers

About

Welcome Back !

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors