Sentiment Analysis Using Word2vec And Long Short-Term Memory (LSTM) For Indonesian Hotel Reviews-Reference-Cited by-同舟云学术

Sentiment Analysis Using Word2vec And Long Short-Term Memory (LSTM) For Indonesian Hotel Reviews

Published:2021 Issue: Volume:179 Page:728-735
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Muhammad Putra Fissabil,Kusumaningrum Retno,Wibowo Adi

Publisher

Elsevier BV

Subject

General Engineering

Reference15 articles.

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2. Franky MR. Machine Learning-based Sentiment Analysis of Automatic Indonesian Translations of English Movie Reviews. In International Conference on Advanced Computational Intelligence and Its Application (ICACIA); 2008.

3. Kurniawan S, Kusumaningrum R. Hierarchical Sentence Sentiment Analysis of Hotel Reviews using The Naive Bayes Classifier. In Proc of the 2nd International Conference on Informatics and Computational Sciences; 2018.

4. Sentiment Analysis in the Sales Review of Indonesian Marketplace by Utilizing Support Vector Machine;Lutfi;J Inf Syst Eng Bus Intell,2018

5. Implementation of Negation Handling Techniques using Modified Syntactic Rule in Indonesian Sentiment Analysis;Prahasiwi;In J Phys Conf Ser,2019

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