Analysis of Popular Hashtags on Instagram Account The Ministry of Health

DOI

10.2991/ahsr.k.210127.062How to use a DOI?

Keywords

Instagram, hashtag, bigram, topic modeling, text mining

Abstract

Using the Instagram platform to distribute information on this decade is considered quite useful. The Ministry of Health Republic Indonesia has an Instagram account with the username kemenkes_ri used as a medium for distributing health information. That information delivers through Instagram posts always includes hashtags that are used as search keywords for the content that has been distributed. Therefore, analysis is performed on all posts made by kemenkes_ri for one year in 2019. From hashtag monitoring can be seen the total frequency of posts every month for one year and top 10 hashtags that are often used. Furthermore, From the results of the most popular hashtag can proceed to search for topics that are often discussed using a combination of bigram features, weighting Term Frequency - Inverse Document Frequency (TF-IDF), followed by Topic Modeling using Latent Dirichlet Allocation (LDA).

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Puji Winar Cahyo
AU  - Muhammad Habibi
AU  - Adri Priadana
AU  - Andika Bayu Saputra
PY  - 2021
DA  - 2021/01/27
TI  - Analysis of Popular Hashtags on Instagram Account The Ministry of Health
BT  - Proceedings of the International Conference on Health and Medical Sciences (AHMS 2020)
PB  - Atlantis Press
SP  - 270
EP  - 273
SN  - 2468-5739
UR  - https://doi.org/10.2991/ahsr.k.210127.062
DO  - 10.2991/ahsr.k.210127.062
ID  - Cahyo2021
ER  -