This repository contains all the python notebooks, scrapped data and other requirements for the BIG DATA ANALYSIS (MA60306) TERM PROJECT for Spring Semester, 2023
Since the Embeddings take up lots of space, it was not possible to upload them to Github. Hence we have uploaded them in GOOGLE DRIVE instead. Here is how to access them:
- Google Drive Link to BERT Embeddings
- Google Drive Link to Word2Vec_SkipGram Embeddings
- Google Drive Link to GloVe Embeddings
- Google Drive Link to BERT Embeddings txt file
- Google Drive Link to Word2vec Embeddings txt file
- Google Drive Link to GloVe Embeddings txt file
- Clone the repository using the following command:
git clone https://github.com/Anubhab2002/Big-Data-Analysis-Term-Project-PE.git
- Put the BERT embeddings in
Embeddings/BERT/
, Word2Vec_SkipGram Embeddings inEmbeddings/Word2Vec_SkipGram/
and Glove Embeddings inEmbeddings/Glove/
folders respectively. - Put the
.txt
files for the BERT vectors inEmbedding Projector/projection_txt
and the other 2 vectors inEmbeddings/Word2Vec_SkipGram
andEmbeddings/GloVe
respectively. - All the
.ipynb
files for the codes to the different parts of the project are added in the repository along with the required datasets. Please run the codes either on Google Colab or on your local system (favourably with a Virtual Environment) to generate the required data and results.
Data 1, 2, 3, 4 represent 4 different products from 4 different categories - Men's Wear, Perfumes, Electronic Accessories and Groceries.
Anubhab Mandal (20MA20080), Rohan Das (20MA20077), Rangoju Bhuvan (20MA20048), Mangalik Mitra (20MA20070), Samarth Somani (20MA20049), Sandeep Mishra (20MA20071), Kattunga Lakshmana Sai Kumar (20MA20026), Prabhav Sunil Patil (20MA20042) Jitendra Padmanabhuni (20MA20039) Shatansh Patnaik (20MA20067) Arup Baral (20MA20010), Atharv Bajaj (20MA20014), Vishwash Kumar (20MA20079)