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  3. Brand Personality for SMEs Brand Personality for SMEs

Brand Personality for SMEs

Language pattern for social media posts from small and medium-sized companies with Natural Language Processing

Brief information

School:

Business

Status:

Completed

Period:

15.07.2022 - 31.12.2022

Overview

Social media allows businesses to communicate easily and quickly with a wide audience. This is particularly attractive for smaller companies due to their limited marketing budget. Smaller companies are often owner-managed. The owner is the figurehead and thus the brand of the company. The personality of the owner and the brand amalgamate. The probably best-known brand personality theory comes from Jennifer Aaker (1997). The theory was developed for larger companies where the company owner is not necessarily the figurehead and brand of the company. Aaker's brand personality was first studied with surveys and later with a lexical dictionary-based Natural Language Processing (NLP) approach in the English-speaking world.

Despite the obvious conceptual link between brand personality and small and medium-sized companies and their economic importance, the brand personality of owner-managed small and medium-sized companies has not been studied so far. The aim is to further statistically and technically refine a recently developed language pattern (Griesser & Lu, 2022) using language data from additional sources such as YouTube, Twitter, Telegram and Swiss online media platforms.

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Facts

Type of project

Forschung

Internal organisations involved
  • CC Communication Management (IKM CM)
Funding
  • Forschungsfinanzierung allgemein
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Links

  • Exploring owner-based brand personality on Facebook and LinkedIn with Natural Language Processing

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Persons involved: internal

Project manager
  • Simone Griesser
Member of project team
  • Guang Lu

Publications

  • Article, review; peer reviewed (1)

    • Griesser, Simone & Guang, Lu (2022). Exploring owner-based brand personality on Facebook and LinkedIn with Natural-Language-Processing (NLP). 2022 9th Swiss Conference on Data Science (SDS), 9th, 13-18. doi: 10.1109/SDS54800.2022.00010

Brief information

School:

Business

Status:

Completed

Period:

07/15/2022 - 12/31/2022

Project Head

Dr. Simone Griesser

Lecturer

+41 41 228 99 90

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Lucerne University of Applied Sciences and Arts


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+41 41 228 42 42

info@hslu.ch

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