Finding the Right Influencers on Instagram for Endorsement Product Using Text Mining

Hedy Pamungkas, Riswan Haryo Yudhianto, Bern Jonathan Sembiring, Indra Budi


The growth of the Internet has significantly changed our way of life. Social media is being used not only for getting connected with people but also for media sharing, diffusing information, and even marketing. Social media marketing has a significant impact because it can target campaigns appropriately based on the segmentation of the products to be marketed. Furthermore, this approach can provide campaign costs that are less expensive than other traditional methods. One of the methods which are generally used is an endorsement. With the popularity of social media, a new type of endorsement called social media endorsement has been born. This type of endorsement incorporates social media influencers to promote products and goods. However, product and brand owners find it difficult to select suitable influencers to endorse their products. Therefore, we try to solve this problem by creating a recommender system using the clustering method. We collect data from Instagram, one of the most popular social media platforms. The result showed that three clusters produced out of the data had high quality. In addition, we applied Silhouette Coefficient to validate the result, which produced a positive result on 7.277×〖10〗^(-3). With such a result, we conclude that this model could be used to categorize which brands or products an influencer normally endorse and recommend product or brand owners if an influencer is suitable based on clustering.


Influencer; Instagram; endorsement; clustering; marketing.

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APJII, “Indonesian internet survey report 2019-2020,†Asos. Penyelenggara Jasa Internet Indones., vol. 2020, pp. 1–146, 2020, [Online]. Available:

F. Mirzaalian and E. Halpenny, "Exploring destination loyalty: Application of social media analytics in a nature-based tourism setting," J. Destin. Mark. Manag., vol. 20, p. 100598, 2021, doi:

A. Arora, S. Bansal, C. Kandpal, R. Aswani, and Y. Dwivedi, "Measuring social media influencer index- insights from facebook, Twitter and Instagram," J. Retail. Consum. Serv., vol. 49, pp. 86–101, 2019, doi:

M. Habibi and P. W. Cahyo, "Clustering User Characteristics Based on the influence of Hashtags on the Instagram Platform," IJCCS (Indonesian J. Comput. Cybern. Syst., vol. 13, no. 4, p. 399, 2019, doi: 10.22146/ijccs.50574.

M. I. Akrianto, A. D. Hartanto, and A. Priadana, "The Best Parameters to Select Instagram Account for Endorsement using Web Scraping," in 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), 2019, pp. 40–45, doi: 10.1109/ICITISEE48480.2019.9004038.

A. Arifianto et al., "Endorsement Recommendation Using Instagram Follower Profiling," in 2018 6th International Conference on Information and Communication Technology (ICoICT), 2018, pp. 470–475, doi: 10.1109/ICoICT.2018.8528724.

C.-W. (Chloe) Ki, L. M. Cuevas, S. M. Chong, and H. Lim, "Influencer marketing: Social media influencers as human brands attaching to followers and yielding positive marketing results by fulfilling needs," J. Retail. Consum. Serv., vol. 55, p. 102133, 2020, doi:

D. Jiménez-Castillo and R. Sánchez-Fernández, "The role of digital influencers in brand recommendation: Examining their impact on engagement, expected value and purchase intention," Int. J. Inf. Manage., vol. 49, pp. 366–376, 2019, doi:

C. Lou and S. Yuan, "Influencer Marketing: How Message Value and Credibility Affect Consumer Trust of Branded Content on Social Media," J. Interact. Advert., vol. 19, no. 1, pp. 58–73, 2019, doi: 10.1080/15252019.2018.1533501.

W. Tafesse and B. P. Wood, "Followers' engagement with instagram influencers: The role of influencers' content and engagement strategy," J. Retail. Consum. Serv., vol. 58, p. 102303, 2021, doi:

R. Y. Kim, "The Value of Followers on Social Media," IEEE Eng. Manag. Rev., vol. 48, no. 2, pp. 173–183, 2020, doi: 10.1109/EMR.2020.2979973.

K. Sokolova and H. Kefi, "Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions," J. Retail. Consum. Serv., vol. 53, p. 101742, 2020, doi:

N. Yudiarta, M. Sudarma, and W. Ariastina, "Application of Clustering Text Mining Method for Grouping News on Unstructured Textual D ata," Maj. Ilm. Teknol. Elektro, vol. 17, p. 339, 2018, doi: 10.24843/MITE.2018.v17i03.P06.

D. Indraloka and B. Santosa, "Application of text mining to cluster Shopee Indonesia's tweet data," J. Sains dan Seni ITS, vol. 6, 2017, doi: 10.12962/j23373520.v6i2.24419.

S. P. Kristanto, J. A. Prasetyo, and E. Pramana, "Naive Bayes Classifier on Twitter Sentiment Analysis BPJS of HEALTH," in 2019 2nd International Conference of Computer and Informatics Engineering (IC2IE), 2019, pp. 24–28, doi: 10.1109/IC2IE47452.2019.8940900.

B. Ray, A. Garain, and R. Sarkar, "An ensemble-based hotel recommender system using sentiment analysis and aspect categorization of hotel reviews," Appl. Soft Comput., vol. 98, p. 106935, 2021, doi:

A. Ahani, M. Nilashi, O. Ibrahim, L. Sanzogni, and S. Weaven, "Market segmentation and travel choice prediction in Spa hotels through TripAdvisor's online reviews," Int. J. Hosp. Manag., vol. 80, pp. 52–77, 2019, doi:

A. Fronzetti Colladon, B. Guardabascio, and R. Innarella, "Using social network and semantic analysis to analyze online travel forums and forecast tourism demand," Decis. Support Syst., vol. 123, p. 113075, 2019, doi:

V. Arefieva, R. Egger, and J. Yu, "A machine learning approach to cluster destination image on Instagram," Tour. Manag., vol. 85, p. 104318, 2021, doi:

A. R. Pathak, M. Pandey, and S. Rautaray, "Topic-level sentiment analysis of social media data using deep learning," Appl. Soft Comput., vol. 108, p. 107440, 2021, doi:

A. Onan, "Two-Stage Topic Extraction Model for Bibliometric Data Analysis Based on Word Embeddings and Clustering," IEEE Access, vol. 7, pp. 145614–145633, 2019, doi: 10.1109/ACCESS.2019.2945911.

Y. D. Darmi and A. Setiawan, "Application of K-Means Clustering Method in Product Sales Grouping," J. Media Infotama, vol. 12, no. 2, pp. 148–157, 2017, doi: 10.37676/jmi.v12i2.418.

P. W. Cahyo and M. Habibi, "Clustering followers of influencers accounts based on likes and comments on Instagram Platform," IJCCS (Indonesian J. Comput. Cybern. Syst., vol. 14, no. 2, p. 199, 2020, doi: 10.22146/ijccs.53028.

B. Mulyawan, M. V. Christanti, and R. Wenas, "Recommendation Product Based on Customer Categorization with K-Means Clustering Method," {IOP} Conf. Ser. Mater. Sci. Eng., vol. 508, p. 12123, May 2019, doi: 10.1088/1757-899x/508/1/012123.

A. A. hussian Hassan, W. M. Shah, M. F. I. Othman, and H. A. H. Hassan, "Evaluate the performance of K-Means and the fuzzy C-Means algorithms to formation balanced clusters in wireless sensor networks," Int. J. Electr. Comput. Eng., vol. 10, no. 2, pp. 1515–1523, 2020, doi: 10.11591/ijece.v10i2.pp1515-1523.

B. Bashari and E. Fazl-Ersi, "Influential post identification on Instagram through caption and hashtag analysis," Meas. Control, vol. 53, no. 3–4, pp. 409–415, 2020, doi: 10.1177/0020294019877489.

S. Banerjee, A. Choudhary, and S. Pal, "Empirical evaluation of K-Means, Bisecting K-Means, Fuzzy C-Means and Genetic K-Means clustering algorithms," in 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 2015, pp. 168–172, doi: 10.1109/WIECON-ECE.2015.7443889.

X. Yang, S. Kim, and Y. Sun, "How Do Influencers Mention Brands in Social Media? Sponsorship Prediction of Instagram Posts," in Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2019, pp. 101–104, doi: 10.1145/3341161.3342925.

J. Han et al., "FITNet: Identifying Fashion Influencers on Twitter," Proc. ACM Hum.-Comput. Interact., vol. 5, no. CSCW1, Apr. 2021, doi: 10.1145/3449227.

A. P. Schouten, L. Janssen, and M. Verspaget, "Celebrity vs. Influencer endorsements in advertising: the role of identification, credibility, and Product-Endorser fit," Int. J. Advert., vol. 39, no. 2, pp. 258–281, 2020, doi: 10.1080/02650487.2019.1634898.

K. Osei-Frimpong, G. Donkor, and N. Owusu-Frimpong, "The Impact of Celebrity Endorsement on Consumer Purchase Intention: An Emerging Market Perspective," J. Mark. Theory Pract., vol. 27, no. 1, pp. 103–121, 2019, doi: 10.1080/10696679.2018.1534070.

S. Kim, J.-Y. Jiang, M. Nakada, J. Han, and W. Wang, "Multimodal Post Attentive Profiling for Influencer Marketing," in Proceedings of The Web Conference 2020, New York, NY, USA: Association for Computing Machinery, 2020, pp. 2878–2884.

R. L. H. Yew, S. B. Suhaidi, P. Seewoochurn, and V. K. Sevamalai, "Social Network Influencers' Engagement Rate Algorithm Using Instagram Data," in 2018 Fourth International Conference on Advances in Computing, Communication Automation (ICACCA), 2018, pp. 1–8, doi: 10.1109/ICACCAF.2018.8776755.

C. Hughes, V. Swaminathan, and G. Brooks, "Driving Brand Engagement Through Online Social Influencers: An Empirical Investigation of Sponsored Blogging Campaigns," J. Mark., vol. 83, no. 5, pp. 78–96, 2019, doi: 10.1177/0022242919854374.

W. N. A. Rahman, D. S. Mutum, and E. M. Ghazali, "Consumer Engagement With Visual Content on Instagram," Int. J. E-Services Mob. Appl., vol. 14, no. 1, pp. 1–21, 2022, doi: 10.4018/ijesma.295960.

D. J. Ladani and N. P. Desai, "Stopword Identification and Removal Techniques on TC and IR applications: A Survey," in 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), 2020, pp. 466–472, doi: 10.1109/ICACCS48705.2020.9074166.

H. Aljuaid, R. Iftikhar, S. Ahmad, M. Asif, and M. Tanvir Afzal, "Important citation identification using sentiment analysis of in-text citations," Telemat. Informatics, vol. 56, p. 101492, 2021, doi:

K. Deb, S. Banerjee, R. P. Chatterjee, A. Das, and R. Bag, "Educational website ranking using fuzzy logic and k-means clustering based hybrid method," Ing. des Syst. d'Information, vol. 24, no. 5, pp. 497–506, 2019, doi: 10.18280/isi.240506.

M. Das, S. Kamalanathan, and P. Alphonse, "A Comparative Study on TF-IDF feature weighting method and its analysis using unstructured dataset," CEUR Workshop Proc., vol. 2870, pp. 98–107, 2021.

P. J. Rousseeuw, "Silhouettes: A graphical aid to the interpretation and validation of cluster analysis," J. Comput. Appl. Math., vol. 20, pp. 53–65, 1987, doi:



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