ConStory: Automatic story investigator of public perception on the mega urban infrastructure project
A project focused on extracting the public opinions of North Houston Highway Improvement Project (IH-45) from Twitter
- Copyright (C) 2022 The University of Texas at Arlington
- Copyright (C) 2022 HBE: The Humanized Built Environment, (https://hubilab.uta.edu/)
- Copyright (C) 2022 Alireza Shamshiri, Kyeong Rok Ryu, Steven McCullough, and June Young Park
- Alireza Shamshiri, Kyeong Rok Ryu, Steven McCullough, and June Young Park. 2022. ConStory: Automatic story investigator of public perception on the mega urban infrastructure project: poster abstract. In Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys '22). Association for Computing Machinery, New York, NY, USA, 293–294. https://doi.org/10.1145/3563357.3567751
- 4103 Scrapped Tweets from Twitter
- Text preprocessing has been done using Natural Language Toolkit (NLTK)
- Topic Modeling Performed Using Gibbs sampling algorithm for a Dirichlet Mixture Model (https://github.com/rwalk/gsdmm)
- Topic Weights = Number of topics assigned to each tweet / Each year tweets contain that topic