GitHub

Sentence embeddings for unsupervised event detection in the Twitter stream: study on English and French corpora

This repo aims at letting researchers reproduce our Twitter event detection results on 2 datasets: the Event2012 dataset (tweets in English) and the Event2018 dataset (tweets in French, a full ...
IEEE

Designing of a Voice-Based Programming IDE for Source Code Generation: A Machine Learning Approach

Abstract: Humans are precise in recognizing natural languages and responding contextually unlike machines. However, speech recognition or Automatic speech recognition often refers to converting human ...
IEEE

Using Word2Vec to process big text data

Abstract: Big data is a broad data set that has been used in many fields. To process huge data set is a time consuming work, not only due to its big volume of data size, but also because data type and ...
Learn With Jay on MSNOpinion

Word2Vec from scratch: Training word embeddings explained part 1

In this video, we will learn about training word embeddings. To train word embeddings, we need to solve a fake problem. This ...
GitHub

Official Code for Article “A neural network model for concept formation, understanding and communication”

CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...
Hosted on MSN

Training word embeddings in Python part 2 | Word2Vec tutorial

In this video, we will about training word embeddings by writing a python code. So we will write a python code to train word embeddings. To train word embeddings, we need to solve a fake problem. This ...