Average rating: | Rated 4 of 5. |
Level of importance: | Rated 4 of 5. |
Level of validity: | Rated 4 of 5. |
Level of completeness: | Rated 4 of 5. |
Level of comprehensibility: | Rated 4 of 5. |
Competing interests: | None |
ScienceOpen disciplines: | Engineering, Civil engineering |
Keywords: | Public opinion evaluation, Sentiment analysis, Transport, Policy and law, Environmental policy and practice, Machine learning, Civil infrastructure projects, Topic modelling, Sustainability |
Summary:
In this study, the authors successfull conduct an analysis of public opinions on a public infrastructure project (the High Speed 2 railway project in the United Kingdom) using data from Twitter and machine learng algorithms. The approach is sound, but the methodology could do with the adoption of SOTA models, benchmarking against very basic models, and handling potentially imbalanced datasets. Details are provided below: