How to Train Sent2Vec Model
Author: Muhammad Farhat Ullah Email ID: farhat69488@gmail.com Affiliation: Research Scholar, COMSATS University Islamabad, Lahore Campus – Pakistan. How to Train sent2vec Model Aim: The main aim of this blog is to explain how to train sent2vec sentence embedding model on unsupervised raw text, its loading and basic usage in different NLP tasks. What will you […]
How to train FastText Model
Author(s): Muhammad Farhat Ullah Email ID: farhat69488@gmail.com Affiliation: Research Scholar, COMSATS University Islamabad, Lahore Campus – Pakistan Programming Language(s) used: Python 3.6 or updated, Libraries / Toolkits: It requires compiler with good C++11 support[(g++-4.7.2 or updated) or (clang-3.3 or updated)], Scipy, NumPy, and updated gensim. Keywords: NLP, FastText Model, word embeddings, Train on Unsupervised plain […]
How to train Google’s Word2Vec Model
Author: Muhammad Farhat Ullah Email ID: farhat69488@gmail.com Affiliation: Research Scholar, COMSATS University Islamabad, Lahore Campus – Pakistan. How to Train Google’s Word2Vec Model Aim: The main of this blog is to explain how to train Google’s Word2Vec model, its loading and basic usage in different NLP tasks. What will you need?? To train and load […]
How to use GolVe on Linux
Author: Muhammad Farhat Ullah, Ms. Nausheen Majeed Email ID: farhat69488@gmail.com Affiliation: Research Scholar, COMSATS University Islamabad, Lahore Campus – Pakistan. How to Use GloVe on Linux Aim The main aim of this blog is to learn how to get vector representations for words in a given corpus by using GloVe on Linux platform. What Will […]