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Users of the transit system flood social networks daily with messages that contain valuable insights crucial for improving service quality.
How are we doing? opinion mining customer sentiment in us transit agencies and airlines via twitter
Schweitzer, L., 2012 · 2012
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A novel transit rider satisfaction metric: Rider sentiments measured from online social media data
Collins, C., Hasan, S., Ukkusuri, S.V., 2013 · 2013
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Sentiment analysis on movie reviews
Cukierski, W., 2014 · 2014
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Sentiment analysis of short informal texts
Kiritchenko, S., Zhu, X., Mohammad, S.M., 2014 · 2014
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Enhancing transport data collection through social media sources: methods, challenges and opportunities for textual data
Grant-Muller, S.M., Gal-Tzur, A., Minkov, E., Nocera, S., Kuflik, T., Shoor, I., 2015 · 2015
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Better, quicker, together: enabling public transport service quality co-monitoring through a smartphone-based platform
Li, C.L., 2016 · 2016
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An empirical, quantitative analysis of the differences between sarcasm and irony, in: The Semantic Web: ESWC 2016 Satellite Events, Heraklion, Crete, Greece, May 29–June 2, 2016, Revised Selected Papers 13, Springer. pp. 203–216
Ling, J., Klinger, R., 2016 · 2016
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Tweeting about public transit—gleaning public perceptions from a social media microblog
Casas, I., Delmelle, E.C., 2017 · 2017
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Automating a framework to extract and analyse transport related social media content: The potential and the challenges
Kuflik, T., Minkov, E., Nocera, S., Grant-Muller, S., Gal-Tzur, A., Shoor, I., 2017 · 2017
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Measuring the impacts of social media on advancing public transit
Liu, J.H.I., Ban, X.J., et al., 2017 · 2017
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Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I., 2017 · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.W., Lee, K., Toutanova, K., 2018 · 2018
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Supporting sustainable system adoption: Socio-semantic analysis of transit rider debates on social media
Hosseini, M., El-Diraby, T., Shalaby, A., 2018 · 2018
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Linking social, semantic and sentiment analyses to support modeling transit customers’ satisfaction: Towards formal study of opinion dynamics
El-Diraby, T., Shalaby, A., Hosseini, M., 2019 · 2019
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Cross-domain text sentiment analysis based on cnn_ft method
Meng, J., Long, Y., Yu, Y., Zhao, D., Liu, S., 2019 · 2019
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.t., Rocktäschel, T., et al., 2020 · 2020
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Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews
Lucini, F.R., Tonetto, L.M., Fogliatto, F.S., Anzanello, M.J., 2020 · 2020
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Social media semantic perceptions on madrid metro system: Using twitter data to link complaints to space
Osorio-Arjona, J., Horak, J., Svoboda, R., García-Ruíz, Y., 2021 · 2021
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A survey on sentiment analysis methods, applications, and challenges
Wankhade, M., Rao, A.C.S., Kulkarni, C., 2022 · 2022
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Zheng, O., Abdel-Aty, M., Wang, D., Wang, C., Ding, S., 2023 · 2023
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Llama 3 model card URL: https://github.com/meta-llama/llama3/blob/main/MODEL_CARD.md
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Using twitter to gauge customer satisfaction response to a major transit service change in calgary, canada
Al-Sahar, R., Klumpenhouwer, W., Shalaby, A., El-Diraby, T., 2024 · 2024
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Ashqar, H.I., Jaber, A., Alhadidi, T.I., Elhenawy, M., 2024 · 2024
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Chatgpt for gtfs: benchmarking llms on gtfs semantics… and retrieval
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