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 work, the author proposed a learning-based framework to evaluate public opinion through social media platform. Most of the contents are presented clearly with a proper use of language. The methods effectively solve the problem, and the experimental results are acceptable.
Comments.
1, there are symbols not correct in math formulas. In Eq.1), the x_1 and p(xn|y) are not in correct form.
2, the state-of-the-art methods are not clearly stated and the comparison between the proposed method and the SOTA is not verified. What is the significance of this work over previous work?
3, in section 3.2.2, on what machine do you train your model and what is the time consumption?
4, the training results in section 3.2.2 is not very good. Have you consider using deep neural networks to solve the problem?
5, how to evaluate the accuracy of sentiment analysis and topic modeling?