A framework with efficient extraction and analysis of Twitter data for evaluating public opinions on transportation services

Author:

Qi Bing,Costin Aaron,Jia Mengda

Publisher

Elsevier BV

Subject

Transportation

Reference41 articles.

1. Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling;Ali;Transp. Res. Part C: Emerg. Technol.,2017

2. Fuzzy ontology and LSTM-based text mining: a transportation network monitoring system for assisting travel;Ali;Sensors,2019

3. Transportation sentiment analysis using word embedding and ontology-based topic modeling;Ali;Knowl.-Based Syst.,2019

4. Baccianella, S., Esuli, A., Sebastiani, F., 2006. “Sentiwordnet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining. In: Proceedings of the 5th Conference on Language Resources and Evaluation LREC-06, Genoa, Italy, pp. 2200–2204.

5. The social web: research and opportunities;Chi;Computer,2008

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