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Create your Mini-Word-Embedding from Scratch using Pytorch
Author(s): Balakrishnakumar V Originally published on Towards AI. 1. CBOW : Illustration by Author On a lighter note, the embedding of a particular word (In Higher Dimension) is nothing but a vector representation of that word (In Lower Dimension). Where words with …
Understand your Customer Better with Sentiment Analysis
Author(s): Simoni Tyagi Originally published on Towards AI. image by the author “Your most unhappy customers are your greatest source of learning.” — Bill Gates In this cut-throat business world, companies look for strategies to keep their customer base satisfied and possibly …
Word Mover’s Distance (WMD) Explained: An Effective Method of Document Classification
Author(s): Xiao Tan Source: *Image from the original paper Natural Language Processing [Reading] From Word Embeddings To Document Distances Document classification and document retrieval have been showing a wide range of applications. An essential part of document classification is to generate document …
Introduction to Word Embeddings
Author(s): Bharat Choudhary Originally published on Towards AI. Implementation of word embedding using deep learning for Natural Language processing. Word Cloud from Kaggle Word embedding is a method to capture the “meaning” of the word via low dimension vector and it can …
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