Sentiment Analysis of Social Media for Indonesian m-Health PeduliLindungi Mobile-Apps(PLMA) with Lexicon-Based and Support Vector Machine Approach-Reference-Cited by-同舟云学术

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Sentiment Analysis of Social Media for Indonesian m-Health PeduliLindungi Mobile-Apps(PLMA) with Lexicon-Based and Support Vector Machine Approach

Published:2023-10-18 Issue: Volume:464 Page:1-7
ISSN:
Container-title:2023 IEEE 9th Information Technology International Seminar (ITIS)
language:
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Author:

Kartini ¹,Darmawan Aang Kisnu²,Syah Riky Iskandar²,Makruf Masdukil³

Affiliation:

1. Universitas Pembangunan Nasional Veteran,Department of Informatics,Surabaya,Indonesia

2. Universitas Islam Madura,Department of Information System,Pamekasan,Indonesia

3. Universitas Islam Madura,Department of Informatics,Pamekasan,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10419870/10419872/10419994.pdf?arnumber=10419994

Reference28 articles.

1. The Successful Use of the PeduliLindungi Application in Handling COVID-19 (Indonesian Case Study);Yang

2. Factors Affecting the PeduliLindungi User Experience Based on UX Honeycomb

3. ‘PeduliLindungi;Kementerian Komunikasi dan Informatika Republik Indonesia,2020

4. ‘PeduliLindungi;Kementerian Komunikasi dan Informatika Republik Indonesia,2021

5. Exploring User Experience and User Interface of Indonesian e-Health PeduliLindungi Mobile-Apps with MeCUE 2.0 Framework

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