Readme.txt

Note:
=====
To execute the jupyter notebook, please download the input files from here:
https://drive.google.com/file/d/1s6f2Rd5P7zW8I42oV54O8dNrriCLYZ0u/view?usp=sharing


Most Relevant Files: 
====================

1) Multi-Lingual Category Tree Classification.ipynb (Main File) 
   LDA-NMF Combination Classifier.ipynb: Source code in Jupyter notebook

2) Result_Submission.csv: Result in the format specified

3) Input files = [Train_data.csv, one.csv, two.csv, three.csv, four.csv, four1.csv, noun.csv, result.csv,result2_today.csv]. Uploa	ded as Topic-Modelling_input.zip in google drive (link given below)

4) Presentation: contains architecture, solution pipeline, thoughts, techniques etc

5) Readme.txt: step by step guidance to run the code 



Instructions:
=============

Multi-Lingual Category Tree Classification.ipynb is the main file to be executed.

LDA-NMF Combination Classifier.ipynb is the fallback LDA-NMF implementation.