Sentiment Classification of Food Influencer Content Reviews using Support Vector Machine Model through CRISP-DM Framework
Abstract
The research problem revolves around the challenges in effectively marketing culinary tourism aligned with tourist preferences in Indonesia, necessitating a substantial exploration of consumer sentiments related to culinary diversity through the lens of food influencer content. Food influencers are crucial in stimulating tourists' interest in gastronomy through culinary tourism in Indonesia. This research reveals challenges in culinary tourism marketing aligned with tourist preferences, necessitating substantial exploration of consumer sentiments related to culinary diversity through food influencer content. The sentiment classification method employed is the Cross-Industry Standard Process for Data Mining (CRISP-DM) using the Support Vector Machine (SVM) algorithm and the SMOTE operator. The data source is derived from a video with the ID PMhfLy_buV8, containing 114,422 comments. This study collects and processes 30,000 comments, resulting in 9,323 data points. The findings highlight the vital performance metrics of SVM models, both with and without SMOTE, showcasing high accuracy, precision, recall, and F-measure values. Specifically, SVM without SMOTE achieves 95.28% accuracy, while SVM with SMOTE achieves 98.67%. Despite some limitations in discerning positive and negative sentiments, indicated by moderate Area Under the Curve (AUC) values (0.608 to 0.658), the overall efficacy of SVM in sentiment analysis for food influencer content is apparent. Drawing from a dataset of 30,000 comments, these insights contribute to advancing sentiment analysis methodologies and offer practical implications for understanding consumer perceptions and behaviors in digital media and influencer marketing. Additionally, the prominence of frequent words such as "bang" (1322), "nonton" (1064), "makan" (921), "yang" (801), "puasa" (711), "tahun" (484), "ngiler" (448), "lagi" (384), "tanboy" (311), and "enak" (315), as extracted from RapidMiner analysis, underscores the significance of language patterns in the realm of food influencer content.
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K. Fowler and V. L. Thomas, “Influencer marketing: a scoping review and a look ahead,†J. Mark. Manag., vol. 39, no. 11–12, pp. 933–964, 2023, doi: 10.1080/0267257X.2022.2157038.
L. Janssen, A. P. Schouten, and E. A. J. Croes, “Influencer advertising on Instagram: product-influencer fit and number of followers affect advertising outcomes and influencer evaluations via credibility and identification,†Int. J. Advert., vol. 41, no. 1, pp. 101–127, 2022, doi: 10.1080/02650487.2021.1994205.
I. Cuykx et al., “The magic is in the mix: a uses and gratifications approach to the cross-media use of food-related media content,†Food, Cult. Soc., vol. 00, no. 00, pp. 1–25, 2023, doi: 10.1080/15528014.2023.2263705.
W. Paramita and F. Septianto, “The benefits and pitfalls of humblebragging in social media advertising: the moderating role of the celebrity versus influencer,†Int. J. Advert., vol. 40, no. 8, pp. 1294–1319, 2021, doi: 10.1080/02650487.2021.1981589.
S. N. Shetu, “Application of Theory of Planned Behavior (TPB) on fast-food consumption preferences among generation Z in Dhaka City, Bangladesh: an empirical study,†J. Foodserv. Bus. Res., vol. 00, no. 00, pp. 1–36, 2022, doi: 10.1080/15378020.2022.2086420.
C. Miguel, C. Clare, C. J. Ashworth, and D. Hoang, “‘With a little help from my friends’: exploring mutual engagement and authenticity within foodie influencers’ communities of practice,†J. Mark. Manag., vol. 38, no. 13–14, pp. 1561–1586, 2022, doi: 10.1080/0267257X.2022.2041705.
L. Hudders and S. De Jans, “Gender effects in influencer marketing: an experimental study on the efficacy of endorsements by same- vs. other-gender social media influencers on Instagram,†Int. J. Advert., vol. 41, no. 1, pp. 128–149, 2022, doi: 10.1080/02650487.2021.1997455.
E. Sweeney, M. A. Lawlor, and M. Brady, “Teenagers’ moral advertising literacy in an influencer marketing context,†Int. J. Advert., vol. 41, no. 1, pp. 54–77, 2022, doi: 10.1080/02650487.2021.1964227.
F. P. Leite, N. Pontes, B. Schivinski, and N. Pontes, “Influencer marketing effectiveness : giving competence , receiving credibility,†J. Travel Tour. Mark., vol. 41, no. 3, pp. 307–321, 2024, doi: 10.1080/10548408.2024.2317748.
K. Rundin and J. Colliander, “Multifaceted Influencers: Toward a New Typology for Influencer Roles in Advertising,†J. Advert., vol. 50, no. 5, pp. 548–564, 2021, doi: 10.1080/00913367.2021.1980471.
A. Basu, “Plant-Based Milk Consumption in India: Motivators, Deterrents and Marketing Strategies in a Competitive Market,†J. Int. Food Agribus. Mark., vol. 0, no. 0, pp. 1–23, 2022, doi: 10.1080/08974438.2022.2084198.
J. Looi, D. Kemp, and Y. W. G. Song, “Instagram Influencers in Health Communication: Examining the Roles of Influencer Tier and Message Construal in COVID-19-Prevention Public Service Announcements,†J. Interact. Advert., vol. 23, no. 1, pp. 14–32, 2023, doi: 10.1080/15252019.2022.2140316.
N. Li, “Food preferences of Chinese cruise tourists: an exploratory study,†J. Foodserv. Bus. Res., vol. 25, no. 1, pp. 85–106, 2022, doi: 10.1080/15378020.2021.1921327.
N. Vinh Hoa and I. May, “ A reflection on the story, current positioning, offerings and the darker side of the luxury gastronomy book, the Michelin Guide ,†Res. Hosp. Manag., vol. 11, no. 1, pp. 59–65, 2021, doi: 10.1080/22243534.2020.1867386.
Y. A. Singgalen, “Penerapan CRISP-DM dalam Klasifikasi Sentimen dan Analisis Perilaku Pembelian Layanan Akomodasi Hotel Berbasis Algoritma Decision Tree ( DT ),†J. Sist. Komput. dan Inform., vol. 5, no. 2, pp. 237–248, 2023, doi: 10.30865/json.v5i2.7081.
Y. A. Singgalen, “Analisis Sentimen Konsumen terhadap Food , Services , and Value di Restoran dan Rumah Makan Populer Kota Makassar Berdasarkan Rekomendasi Tripadvisor Menggunakan Metode CRISP-DM dan,†Build. Informatics, Technol. Sci., vol. 4, no. 4, pp. 1899–1914, 2023, doi: 10.47065/bits.v4i4.3231.
V. Jap, J. Hartanto, and S. Wijaya, “Analisis Kepuasan Dan Ketidakpuasan Tamu Hotel Novotel: Pendekatan Text Mining Atas Ulasan Daring Pada Situs Web Tripadvisor,†J. Manaj. Perhotelan, vol. 9, no. 2, pp. 71–80, 2023, doi: 10.9744/jmp.9.2.71-80.
N. H. Md Saad, F. Mei Nie, and Z. Yaacob, “Exploring sentiment analysis of online food delivery services post COVID-19 pandemic: grabfood and foodpanda,†J. Foodserv. Bus. Res., vol. 00, no. 00, pp. 1–25, 2023, doi: 10.1080/15378020.2023.2294406.
J. Wu and N. Zhao, “What consumer complaints should hoteliers prioritize? Analysis of online reviews under different market segments,†J. Hosp. Mark. Manag., vol. 32, no. 1, pp. 1–28, 2023, doi: 10.1080/19368623.2022.2119187.
R. T. Aldisa and P. Maulana, “Analisis Sentimen Opini Masyarakat Terhadap Vaksinasi Booster COVID-19 Dengan Perbandingan Metode Naive Bayes, Decision Tree dan SVM,†Technol. Sci., vol. 4, no. 1, pp. 106–109, 2022, doi: 10.47065/bits.v4i1.1581.
Z. Drew, J. Fulton, and P. McIntyre, “#foodporn: examining Instagram food influencers through the systems model of creativity,†Commun. Res. Pract., vol. 8, no. 4, pp. 308–326, 2022, doi: 10.1080/22041451.2022.2137248.
C. Barnes, “Precarious digital mothering: creativity, entrepreneurship and hidden labor within digital foodscapes,†Food, Cult. Soc., vol. 26, no. 5, pp. 1154–1173, 2023, doi: 10.1080/15528014.2022.2100972.
V. S. W. Mak and A. K. Y. Poon, “Digital activism and citizenship: a case study of ‘yellow’ food influencers and political consumerism in Hong Kong,†Food, Cult. Soc., vol. 00, no. 00, pp. 1–19, 2023, doi: 10.1080/15528014.2023.2187574.
C. Miguel, C. Clare, C. J. Ashworth, and D. Hoang, “Self-branding and content creation strategies on Instagram: A case study of foodie influencers,†Inf. Commun. Soc., pp. 1–21, 2023, doi: 10.1080/1369118X.2023.2246524.
C. S. Frempong, V. O. Charles-Unadike, J. A. Anaman-Torgbor, and E. E. Tarkang, “Correlates of intention to practice good food hygiene among street food-vendors in Kadjebi District, Ghana,†Int. J. Heal. Promot. Educ., vol. 00, no. 00, pp. 1–13, 2022, doi: 10.1080/14635240.2022.2075428.
K. A. Lim, S. Ham, H. Y. Moon, Y. J. Jang, and C. S. Kim, “How does food choice motives relate to subjective well-being and loyalty? A cross-cultural comparison of vegan restaurant customers in South Korea and Singapore,†J. Foodserv. Bus. Res., vol. 25, no. 2, pp. 168–208, 2022, doi: 10.1080/15378020.2021.1935188.
M. Sharma and Y. Peng, “How Visual Aesthetics and Calorie Density Predict Food Image Popularity on Instagram: A Computer Vision Analysis,†Health Commun., vol. 39, no. 3, pp. 577–591, 2023, doi: 10.1080/10410236.2023.2175635.
L. Dam, A. M. B. Borsai, and B. Burroughs, “(Over)Eating with Our Eyes: An Examination of Mukbang Influencer Marketing and Consumer Engagement with Food Brands,†J. Promot. Manag., vol. 30, no. 2, pp. 227–251, 2023, doi: 10.1080/10496491.2023.2253244.
N. H. Nazlan, H. Zhang, J. Sun, and W. Chang, “Navigating the online reputation maze: impact of review availability and heuristic cues on restaurant influencer marketing effectiveness,†J. Hosp. Mark. Manag., vol. 00, no. 00, pp. 1–20, 2023, doi: 10.1080/19368623.2023.2246471.
M. N. Tran, “The impact of using food influencers on consumer purchase intention with attitude toward influencers as mediator,†J. Foodserv. Bus. Res., vol. 00, no. 00, pp. 1–18, 2023, doi: 10.1080/15378020.2023.2261831.
L. Hudders and C. Lou, “The rosy world of influencer marketing? Its bright and dark sides, and future research recommendations,†Int. J. Advert., vol. 42, no. 1, pp. 151–161, 2023, doi: 10.1080/02650487.2022.2137318.
B. Al Kurdi and M. T. Alshurideh, “The effect of social media influencer traits on consumer purchasing decisions for keto products: examining the moderating influence of advertising repetition,†J. Mark. Commun., vol. 00, no. 00, pp. 1–22, 2023, doi: 10.1080/13527266.2023.2246043.
H. Alwafi et al., “The Impact of Social Media Influencers on Food Consumption in Saudi Arabia, a Cross-Sectional Web-Based Survey,†J. Multidiscip. Healthc., vol. 15, pp. 2129–2139, 2022, doi: 10.2147/JMDH.S384523.
M. Soltani, N. Soltani Nejad, F. Taheri Azad, B. Taheri, and M. J. Gannon, “Food consumption experiences: a framework for understanding food tourists’ behavioral intentions,†Int. J. Contemp. Hosp. Manag., vol. 33, no. 1, pp. 75–100, Jan. 2021, doi: 10.1108/IJCHM-03-2020-0206.
M. Thorsen, F. Nyhof, F. Goodman-Smith, J. Deutsch, and M. Mirosa, “Accessing Supermarket Shelves: Retail Category Managers Advice to Upcycled Food Manufacturers,†J. Food Prod. Mark., vol. 28, no. 4, pp. 179–192, 2022, doi: 10.1080/10454446.2022.2072695.
Y. Feng, H. Chen, and Q. Xie, “AI Influencers in Advertising: The Role of AI Influencer-Related Attributes in Shaping Consumer Attitudes, Consumer Trust, and Perceived Influencer–Product Fit,†J. Interact. Advert., vol. 24, no. 1, pp. 26–47, 2023, doi: 10.1080/15252019.2023.2284355.
Y. Feng, H. Chen, and Q. Kong, “An expert with whom i can identify: the role of narratives in influencer marketing,†Int. J. Advert., vol. 40, no. 7, pp. 972–993, 2021, doi: 10.1080/02650487.2020.1824751.
N. S. Borchers, J. Hagelstein, and J. Beckert, “Are many too much? Examining the effects of multiple influencer endorsements from a persuasion knowledge model perspective,†Int. J. Advert., vol. 41, no. 6, pp. 974–996, 2022, doi: 10.1080/02650487.2022.2054163.
Q. Xie and Y. Feng, “How to strategically disclose sponsored content on Instagram? The synergy effects of two types of sponsorship disclosures in influencer marketing,†Int. J. Advert., vol. 42, no. 2, pp. 317–343, 2023, doi: 10.1080/02650487.2022.2071393.
G. Yang, “The effects of sponsorship disclosures, advertising knowledge, and message involvement in sponsored influencer posts,†Int. J. Advert., vol. 41, no. 8, pp. 1502–1520, 2022, doi: 10.1080/02650487.2022.2029260.
R. Sharma, K. Nagdev, and P. Singh, “Livestream Shopping Breakthrough : Fast Fashion ’ s New Frontier Explored through Attitude , Influencer ’ s Advice , and Portal Quality Livestream Shopping Breakthrough : Fast Fashion ’ s New Frontier Explored through Attitude , Influencer ’ s,†J. Promot. Manag., vol. 0, no. 0, pp. 1–30, 2024, doi: 10.1080/10496491.2024.2318667.
A. M. MartÃnez-Sala and B. Peña-Acuña, “Educommunication 2.0 in food and physical activity. Study of mobile applications in the fast food sector,†J. Foodserv. Bus. Res., vol. 00, no. 00, pp. 1–22, 2023, doi: 10.1080/15378020.2023.2183336.
İ. Kılıç and M. Gürlek, “Green influencer marketing: conceptualization, scale development, and validation: an application to tourism products,†J. Sustain. Tour., 2023, doi: 10.1080/09669582.2023.2273755.
X. Hu and M. Z. Yao, “Judging a book by its cover: investigating consumer responses towards social cue in social media influencer marketing,†J. Media Bus. Stud., vol. 19, no. 4, pp. 225–239, 2022, doi: 10.1080/16522354.2021.1960721.
Saima and M. A. Khan, “Effect of Social Media Influencer Marketing on Consumers’ Purchase Intention and the Mediating Role of Credibility,†J. Promot. Manag., vol. 27, no. 4, pp. 503–523, 2020, doi: 10.1080/10496491.2020.1851847.
J. Yang, P. Chuenterawong, and K. Pugdeethosapol, “Speaking Up on Black Lives Matter: A Comparative Study of Consumer Reactions toward Brand and Influencer-Generated Corporate Social Responsibility Messages,†J. Advert., vol. 50, no. 5, pp. 565–583, 2021, doi: 10.1080/00913367.2021.1984345.
P. S. Kapoor, A. Tagore, and S. Dua, “Social Media Influencer Promoted Sustainable Fashion: Effects of Sponsorship and Benefit Association,†J. Promot. Manag., vol. 29, no. 4, pp. 461–490, 2023, doi: 10.1080/10496491.2022.2163034.
M. M. Mostafa, “Mining halal food search pathways down the Wikipedia’s rabbit hole,†Food, Cult. Soc., vol. 25, no. 1, pp. 49–69, 2022, doi: 10.1080/15528014.2021.1884452.
S. Sharma and A. Bumb, “Femluencing: Integration of Femvertising and Influencer Marketing on Social Media,†J. Interact. Advert., vol. 22, no. 1, pp. 95–111, 2022, doi: 10.1080/15252019.2022.2032493.
R. Yang, S. Wibowo, and P. O. Connor, “The dark side of applying Unified Theory of Acceptance and Use of Technology : behavioral intentions toward food addiction and food waste among food delivery applications ’ users in China and Use of Technology : behavioral intentions toward food,†J. Sustain. Tour., vol. 0, no. 0, pp. 1–22, 2024, doi: 10.1080/09669582.2024.2312902.
V. Filimonau et al., “Religiosity and food waste behavior at home and away,†J. Hosp. Mark. Manag., vol. 31, no. 7, pp. 797–818, 2022, doi: 10.1080/19368623.2022.2080145.
M. Ghosh, “Product placement by social media homefluencers during new normal,†South Asian J. Mark., vol. 3, no. 1, pp. 21–37, Jan. 2022, doi: 10.1108/sajm-05-2021-0069.
M. Ghosh and A. S. Islam, “Homefluencers’ endorsement of millennial consumers’ purchase intention in new normal,†Int. Mark. Rev., vol. 40, no. 5, pp. 1188–1212, Jan. 2023, doi: 10.1108/IMR-10-2021-0308.
J. Nilsson, R. Murto, and H. Kjellberg, “Influencer marketing and the ‘gifted’ product: framing practices and market shaping,†J. Mark. Manag., vol. 39, no. 11–12, pp. 982–1011, 2023, doi: 10.1080/0267257X.2023.2253450.
J. Joenperä and J. Lundén, “Food fraud detection and reporting by food control officers in Finland,†Int. J. Environ. Health Res., vol. 00, no. 00, pp. 1–18, 2023, doi: 10.1080/09603123.2023.2236977.
J. Zhang, J. Y. Choe, and C. Lim, “The Influence of Cognitive Food Image on Tourists’ Desire and Intention to Consume Destination Food: A Macau Study,†J. China Tour. Res., vol. 19, no. 3, pp. 489–516, 2023, doi: 10.1080/19388160.2022.2095318.
DOI: https://doi.org/10.30865/json.v5i3.7509
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