Semantic Brand Analysis AI
To reposition a luxury brand, subjective opinions were insufficient. We applied data science principles to the branding process using Natural Language Processing (NLP).
Operational HQ: London, UKTarget sector: FashionOperating language: English
Methodology
To reposition a luxury brand, subjective opinions were insufficient. We applied data science principles to the branding process using Natural Language Processing (NLP).
Technical Stack
- Data Mining: Scraped 10,000+ customer reviews and competitor social posts using Python.
- NLP Analysis: Utilized NLTK and SpaCy libraries to perform sentiment analysis and identify under-served semantic clusters in the market.
- Predictive Positioning: Fed the semantic data into LLMs to map predictive brand positioning and structure B2B communications.