Clustering User Characteristics Based on the influence of Hashtags on the Instagram Platform
Instagram is a social media that has the potential to be used to increase awareness of a product. Approximately 70% of users spend their time searching for a product on Instagram. Many people promote their products with a lack of attention to the target. So that not infrequently the information dist...
Saved in:
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | EJournal Article |
| Published: |
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.,
2019-10-31.
|
| Subjects: | |
| Online Access: | Get Fulltext Get Fulltext |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 02475 am a22003013u 4500 | ||
|---|---|---|---|
| 001 | IJCSS_50574 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Habibi, Muhammad |e author |
| 100 | 1 | 0 | |a Directorate of Research and Community Service Directorate General of Research and Development Strengthening |q (DRPM) |e contributor |
| 700 | 1 | 0 | |a Cahyo, Puji Winar |e author |
| 245 | 0 | 0 | |a Clustering User Characteristics Based on the influence of Hashtags on the Instagram Platform |
| 260 | |b IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia., |c 2019-10-31. | ||
| 500 | |a https://jurnal.ugm.ac.id/ijccs/article/view/50574 | ||
| 520 | |a Instagram is a social media that has the potential to be used to increase awareness of a product. Approximately 70% of users spend their time searching for a product on Instagram. Many people promote their products with a lack of attention to the target. So that not infrequently the information distributed is inaccurate information and not following user characteristics. This study aims to cluster the characteristics of Instagram users based on hashtag compatibility. The method used in this study is the K-Means Clustering method. Based on the results of the experiment, this research succeeded in clustering Instagram users based on the hashtag match on the text caption. Besides, TF-IDF can be used as a feature suitable for the K-Means Klastering method. The results of the hashtag "#kopi" analysis resulted in hashtag suggestions that can be used for the promotion of a product related to coffee, including the hashtag #coffeeshop and #coffee with total usage of 14968 captions. | ||
| 540 | |a Copyright (c) 2019 IJCCS (Indonesian Journal of Computing and Cybernetics Systems) | ||
| 540 | |a http://creativecommons.org/licenses/by-sa/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Data Mining; Text Mining; Social Media Analytic | ||
| 690 | |a Clustering; Instagram; K-Means; Social Media; Text Analysis | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 13, No 4 (2019): October; 399-408 | |
| 786 | 0 | |n 2460-7258 | |
| 786 | 0 | |n 1978-1520 | |
| 787 | 0 | |n https://jurnal.ugm.ac.id/ijccs/article/view/50574/26047 | |
| 856 | 4 | 1 | |u https://jurnal.ugm.ac.id/ijccs/article/view/50574 |z Get Fulltext |
| 856 | 4 | 1 | |u https://jurnal.ugm.ac.id/ijccs/article/view/50574/26047 |z Get Fulltext |