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Fitting a Neural Network Classification Model in MATLAB and R for Tweeter Data set
Syed Muzamil Basha,
Published in Springer Singapore
2018
Volume: 34
   
Pages: 11 - 18
Abstract
Nowadays, the interest among the research community in sentiment analysis (SA) has grown exponentially. Our paper aims to find the prediction error occurred when we perform SA on tweets. The data set considered for the demonstration has 1129 tweets, and output parameters having predictor identifiers. Artificial neural networks (ANNs) are designed with ten hidden layers and one output layer. Additionally, trained the designed system with the help of MATLAB software to find the prediction error and also, derived sentiments using ggplot2 package in R. © 2018, Springer Nature Singapore Pte Ltd.
About the journal
JournalData powered by TypesetLecture Notes in Networks and Systems Proceedings of International Conference on Recent Advancement on Computer and Communication
PublisherData powered by TypesetSpringer Singapore
ISSN2367-3370
Open Access0