Learn With Jay 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 ...
IEEE

Automatic Exam Correction Framework (AECF) for the MCQs, Essays, and Equations Matching

Abstract: Automatic grading requires the adaption of the latest technologies. It has become essential especially when most of the courses became online courses (MOOCs). The objectives of the current ...
Frontiers

NeuroCNN_GNB: an ensemble model to predict neuropeptides based on a convolution neural network and Gaussian naive Bayes

1 Information Science and Technology College, Dalian Maritime University, Dalian, China 2 School of Science, Dalian Maritime University, Dalian, China Neuropeptides contain more chemical information ...
CoinTelegraph

5 Natural language processing libraries to use

Natural language processing (NLP) is important because it enables machines to understand, interpret and generate human language, which is the primary means of communication between people. By using ...
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 ...
GitHub

Word2Vec for Sentiment Analysis

The project presented here involves the automated prediction of movie review sentiments from IMDB based on the Word2vec word embedding model. Sentiment analysis is one of the fundamental tasks of ...