The Semantic Brand Score
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Abstract (arXiv)
The Semantic Brand Score (SBS) is a new measure of brand importance calculated on text data, combining methods of social network and semantic analysis. This metric is flexible as it can be used in different contexts and across products, markets and languages. It is applicable not only to brands, but also to multiple sets of words. The SBS, described together with its three dimensions of brand prevalence, diversity and connectivity, represents a contribution to the research on brand equity and on word co-occurrence networks. It can be used to support decision-making processes within companies; for example, it can be applied to forecast a company's stock price or to assess brand importance with respect to competitors. On the one side, the SBS relates to familiar constructs of brand equity, on the other, it offers new perspectives for effective strategic management of brands in the era of big data.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 0 of its 71 references that are in the map. First posted on arXiv 12 May 2021.
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Citing papers per year: 2021: 5; 2022: 2; 2023: 2; 2024: 1; 2025: 1.
11 papers.
- 2022Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaignscited by 3
- 2021As long as you talk about me: The importance of family firm brands and the contingent role of family-firm identitycited by 2
- 2021A new system for evaluating brand importance: A use case from the fashion industrycited by 1
- 2021Put your money where your mouth is: Using deep learning to identify consumer tribes from word usagecited by 0
- 2021Corporate core values and social responsibility: What really matters to whomcited by 0
- 2021Tell me a story about yourself: The words of shopping experience and self-satisfactioncited by 0
- 2022Evaluating and improving social awareness of energy communities through semantic network analysis of online newscited by 0
- 2023Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remainscited by 0
- 2023Brand Network Booster: A new system for improving brand connectivitycited by 0
- 2024LCA and energy efficiency in buildings: mapping more than twenty years of researchcited by 0
- 2025The role of media memorability in facilitating startups' access to venture capital fundingcited by 0
- 2025The role of media memorability in facilitating startups' access to venture capital funding29 Jul 2025
- 2024LCA and energy efficiency in buildings: mapping more than twenty years of research23 Aug 2024
- 2023Brand Network Booster: A new system for improving brand connectivity28 Sep 2023
- 2023Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains25 Mar 2023
- 2022Evaluating and improving social awareness of energy communities through semantic network analysis of online news3 Aug 2022
- 2022Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaigns19 Jan 2022
- 2021As long as you talk about me: The importance of family firm brands and the contingent role of family-firm identity19 Oct 2021
- 2021Tell me a story about yourself: The words of shopping experience and self-satisfaction6 Aug 2021
- 2021A new system for evaluating brand importance: A use case from the fashion industry24 Jun 2021
- 2021Corporate core values and social responsibility: What really matters to whom3 Jun 2021
- 2021Put your money where your mouth is: Using deep learning to identify consumer tribes from word usage27 May 2021