Draft talk:Semantic Brand Score

Examples of secondary sources:

• Mercurio, S. (2024). What About Corruption? A Text Analytics Method for a Scoping Literature Review. In: Giordano, G., Misuraca, M. (eds) New Frontiers in Textual Data Analysis. JADT 2022. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-031-55917-4_28
• Bashar, M. A., Nayak, R., & Balasubramaniam, T. (2020). Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media. https://doi.org/10.48550/ARXIV.2008.12435
• Bashar, M. A., Nayak, R., & Balasubramaniam, T. (2022). Deep learning based topic and sentiment analysis: COVID19 information seeking on social media. Social Network Analysis and Mining, 12(1), 90. https://doi.org/10.1007/s13278-022-00917-5
• Bashar, M. A., Nayak, R., Knapman, G., Turnbull, P., & Fforde, C. (2023). An Informed Neural Network for Discovering Historical Documentation Assisting the Repatriation of Indigenous Ancestral Human Remains. Social Science Computer Review, 41(6), 2293–2317. https://doi.org/10.1177/08944393231158788
• Bianchino, A., Fusco, D., & Pisciottano, D. (2021). How to Measure the Touristic Competitiveness: A Mixed Mode Model Proposal. ATHENS JOURNAL OF TOURISM, 8(2), 131–146. https://doi.org/10.30958/ajt.8-2-4
• Brand-generated and user-generated content videos on YouTube: Characteristics, behavior and user perception. Retrieved April 2, 2024, from https://www.politesi.polimi.it/handle/10589/150944?mode=complete
• Das, S. D., Bala, P. K., & Das, S. (2024). Exploiting User-Generated Content in Product Launch Videos to Compute a Launch Score. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2024.3381541
• Indraccolo, U., Losavio, E., & Carone, M. (2023). Applying graph theory to improve the quality of scientific evidence from textual information: Neural injuries after gynaecologic pelvic surgery for genital prolapse and urinary incontinence. Neurourology and Urodynamics, 42(3), 669–679. https://doi.org/10.1002/nau.25133
• Mitra, S., & Jenamani, M. (2020). OBIM: A computational model to estimate brand image from online consumer review. Journal of Business Research, 114, 213–226. https://doi.org/10.1016/j.jbusres.2020.04.003
• Ovadia, C., & Indraccolo, U. (2021). A Clinical & Experimental Obstetrics and Gynecology survey on ursodeoxycholic treatment of intrahepatic cholestasis of pregnancy: Scholars’ opinion. Clinical and Experimental Obstetrics & Gynecology, 48(6), 1300. https://doi.org/10.31083/j.ceog4806206
• Polish Twitter on immigrants during the 2021 Belarus–European Union border crisis. (n.d.). Retrieved April 3, 2024, from https://www.linkedin.com/pulse/polish-twitter-immigrants-during-2021-belaruseuropean-kasia-parys
• Santomauro, G., Alderuccio, D., Ambrosino, F., & Migliori, S. (2021). Ranking Cryptocurrencies by Brand Importance: A Social Media Analysis in ENEAGRID. In V. Bitetta, I. Bordino, A. Ferretti, F. Gullo, G. Ponti, & L. Severini (Eds.), Mining Data for Financial Applications (Vol. 12591, pp. 92–100). Springer International Publishing. https://doi.org/10.1007/978-3-030-66981-2_8
• Schlaile, M. P., Bogner, K., & Muelder, L. (2021). It’s more than complicated! Using organizational memetics to capture the complexity of organizational culture. Journal of Business Research, 129, 801–812. https://doi.org/10.1016/j.jbusres.2019.09.035
• Slamić Tarade, S. (2020). ISTRAŽIVANJE BRANDA KORIŠTENJEM ANALIZE TEKSTA I KONTEKSTA. Polytechnic and Design, 8(2), 74–82. https://doi.org/10.19279/TVZ.PD.2020-8-2-02

Other papers using or citing the metric: https://scholar.google.com/scholar?cites=11163848385607207233&as_sdt=2005&sciodt=0,5&hl=en

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