Analysing Public Transport User Sentiment
Mini-dissertation podcast for Rozina Myoya — exploring Twitter data to analyse public transport commuter sentiments in Sub-Saharan Africa using multilingual NLP.
Literature curated by DSFSI — DSFSI · Audio generated by NotebookLM
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Duration: 8:44 | Download MP3
A mini-dissertation podcast for Rozina Myoya, exploring innovative research on public transport in Sub-Saharan Africa.
This episode examines how Twitter data can be used to analyse commuter sentiments, applying Multilingual Opinion Mining and NLP techniques to understand user experiences of public transport. The findings offer valuable insights for policymakers seeking to enhance urban mobility and sustainability across the region.
🔗 Dissertation page: www.dsfsi.co.za/blog/Rozina-dissertation/
Topics: Public Transport Sentiment Analysis NLP Sub-Saharan Africa NotebookLM
Season: 0