Applying Deep Learning Techniques for Sentiment Analysis to Assess Sustainable Transport

Applying Deep Learning Techniques for Sentiment Analysis to Assess Sustainable Transport

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...

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Bibliographic Details
Main Authors: Ainhoa Serna, Aitor Soroa, Rodrigo Agerri
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sustainability
Subjects:
sustainable transport
sentiment analysis
deep learning
information extraction
natural language processing
Online Access:https://www.mdpi.com/2071-1050/13/4/2397

Internet

https://www.mdpi.com/2071-1050/13/4/2397

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