Topic Modeling of Nike Product Reviews for Strategic Insights
- Objective: To perform topic modeling on top reviews of Nike clothing and shoes to extract valuable insights for marketing and product development.
- Data Source: Customer reviews of Nike products, focusing on clothing and shoes.
- Key Technology: Natural Language Processing (NLP) with topic modeling using Latent Dirichlet Allocation (LDA).
- Goal: Identify common themes and trends in customer feedback.
- Expected Outcomes:
- Insights into customer preferences and satisfaction levels.
- Key areas where Nike can improve its products or services.
- Data-driven recommendations for refining marketing messages and strategies.
- Potential Business Impact:
- Enhanced product development by aligning with customer needs.
- Improved customer experience by addressing concerns raised in reviews.
- Optimized marketing efforts by focusing on topics that matter most to customers.
- Tools and Libraries: Python, tmtoolkit, LDA for topic modeling.
