Applying Deep Learning Techniques for Sentiment Analysis to Assess Sustainable Transport
Open Access
- 23 February 2021
- journal article
- research article
- Published by MDPI AG in Sustainability
- Vol. 13 (4), 2397
- https://doi.org/10.3390/su13042397
Abstract
Users voluntarily generate large amounts of textual content by expressing their opinions, in social media and specialized portals, on every possible issue, including transport and sustainability. In this work we have leveraged such User Generated Content to obtain a high accuracy sentiment analysis model which automatically analyses the negative and positive opinions expressed in the transport domain. In order to develop such model, we have semiautomatically generated an annotated corpus of opinions about transport, which has then been used to fine-tune a large pretrained language model based on recent deep learning techniques. Our empirical results demonstrate the robustness of our approach, which can be applied to automatically process massive amounts of opinions about transport. We believe that our method can help to complement data from official statistics and traditional surveys about transport sustainability. Finally, apart from the model and annotated dataset, we also provide a transport classification score with respect to the sustainability of the transport types found in the use case dataset.This publication has 31 references indexed in Scilit:
- Random Walks for Knowledge-Based Word Sense DisambiguationComputational Linguistics, 2014
- Lexicon-Based Methods for Sentiment AnalysisComputational Linguistics, 2011
- Outlook for advanced biofuelsEnergy Policy, 2006
- A global survey of hydrogen energy research, development and policyEnergy Policy, 2006
- Issues in sustainable transportationInternational Journal of Global Environmental Issues, 2006
- Quo Vadis, Automotive Industry? A Vision of Possible Industry TransformationsEuropean Management Journal, 2005
- The car and fuel of the futureEnergy Policy, 2005
- Institutionalisation of sustainable consumption patterns based on shared useEcological Economics, 2004
- Measuring praise and criticismACM Transactions on Information Systems, 2003
- Sustainable transportJournal of Transport Geography, 1997