Skip to content

Bachelor Thesis project about Automatic Text Classification using SVM

Notifications You must be signed in to change notification settings

jeongwoopark0514/CSE3000-Research-Project

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

rp-group-43-common

SVM

svm_binary.ipynb contains binary classification. ordinal.ipynb contains ordinal classification. per_questionnaire.ipynb contains per-questionnaire classification.

In order to run these classifiers, you need fastText model. You also need to adjust the file structure if you want to run these classifiers.

How to download fastText model?

import fasttext.util fasttext.util.download_model('en', if_exists='ignore') # English ft = fasttext.load_model('cc.en.300.bin')

For detailed download information, please check this link: https://fasttext.cc/docs/en/crawl-vectors.html

Data

Data used for this text classification is not available, as it was not collected to be publicly shared.

About

Bachelor Thesis project about Automatic Text Classification using SVM

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published