An Ensemble Neural Network Model for Benefiting Pregnancy Health Stats from Mining Social Media

2018 ◽  
pp. 3-15 ◽  
Author(s):  
Neha Warikoo ◽  
Yung-Chun Chang ◽  
Hong-Jie Dai ◽  
Wen-Lian Hsu
Keyword(s):  
Neural Network ◽  
Social Media ◽  
Network Model ◽  
Neural Network Model ◽  
Ensemble Neural Network

Ensemble neural network model for steel properties prediction

2000 ◽  
Vol 33 (22) ◽  
pp. 401-406 ◽  
Author(s):  
Y.Y. Yang ◽  
D.A. Linkens ◽  
A.J. Trowsdale ◽  
J. Tenner
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Ensemble Neural Network ◽  
Steel Properties

scholarly journals Using deep learning neural network model to solve the problems of classification of unwanted content in social media

2021 ◽  
pp. 56-62
Author(s):  
А.С. Бобин
Keyword(s):  
Neural Network ◽  
Social Media ◽  
Deep Learning ◽  
Network Model ◽  
Neural Network Model ◽  
Classification Problems ◽  
Deep Learning Neural Network

При решении задач классификации с использование глубокого обучения сталкиваются с проблемой сходимости модели. Такая проблема возникает из за ограниченного объема данных в выборках. When solving classification problems using deep learning, they face the problem of model convergence. This problem occurs due to the limited amount of data in the samples.

scholarly journals A new corpus-based convolutional neural network for big data text analytics

2019 ◽  
Vol 9 (2) ◽  
Author(s):  
Wedjdane Nahilia ◽  
Kahled Rezega ◽  
Okba Kazara
Keyword(s):  
Neural Network ◽  
Social Media ◽  
Convolutional Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Large Scale ◽  
Easy Access ◽  
Data Sets ◽  
Accuracy Score ◽  
Social Media Platforms

Companies market their services and products on social media platforms with today's easy access to the internet. As result, they receive feedback and reviews from their users directly on their social media sites. Reading every text is time-consuming and resourcedemanding. With access to technology-based solutions, analyzing the sentiment of all these texts gives companies an overview of how positive or negative users are on specific subjects will minimize losses. In this paper, we propose a deep learning approach to perform sentiment analysis on reviews using a convolutional neural network model, because that they have proven remarkable results for text classification. We validate our convolutional neural network model using large-scale data sets: IMDB movie reviews and Reuters data sets with a final accuracy score of ~86% for both data sets.

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