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Genetic Algorithm Based Hybrid Attribute Selection Using Customized Fitness Function Read chapter Read first chapter

2018 | OriginalPaper | Chapter

An Algorithm for Text Prediction Using Neural Networks

Authors : Bindu K. R., Aakash C., Bernett Orlando, Latha Parameswaran

Published in: Computational Vision and Bio Inspired Computing

Publisher: Springer International Publishing

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Abstract

Neural networks have become increasingly popular for the task of language modeling. Whereas feed-forward networks only exploit a fixed context length to predict the next word of a sequence, conceptually, standard recurrent neural networks can take into account all of the predecessor words. In this paper, an algorithm using machine learning which, when given a dataset of conversations, is able to train itself using Neural Networks which can then be used to get suggestions for replies for any particular input sentence is proposed. Currently, smart suggestions have been implemented in chat applications. Google uses similar techniques to provide smart replies in Email through which the user can reply to a particular email with just a single tap.

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Metadata
Title
An Algorithm for Text Prediction Using Neural Networks
Authors
Bindu K. R.
Aakash C.
Bernett Orlando
Latha Parameswaran
Copyright Year
2018
Book
Computational Vision and Bio Inspired Computing

Print ISBN: 978-3-319-71766-1

Electronic ISBN: 978-3-319-71767-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-71767-8_15