Sentiment Analysis for the Natural Environment: A Systematic Review

In this systematic review, Kitchenham’s framework is used to explore what tasks, techniques, and benchmarks for Sentiment Analysis have been developed for addressing topics about the natural environment. We comprehensively analyze seven dimensions including contribution, topical focus, data source a...

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Bibliographic Details
Published in:ACM computing surveys 2024-04, Vol.56 (4), p.1-37, Article 88
Main Authors: Ibrohim, Muhammad Okky, Bosco, Cristina, Basile, Valerio
Format: Article
Language:English
Subjects:
Algorithms
Annotations
Computer science
Computing methodologies
Data mining
Natural language processing
Query languages
Sentiment analysis
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Summary:In this systematic review, Kitchenham’s framework is used to explore what tasks, techniques, and benchmarks for Sentiment Analysis have been developed for addressing topics about the natural environment. We comprehensively analyze seven dimensions including contribution, topical focus, data source and query, annotation, language, detail of the task, and technology/algorithm used. By showing how this research area has grown during the last few years, our investigation provides important findings about the results achieved and the challenges that need to be still addressed for making this technology actually helpful for stakeholders such as policymakers and governments.
ISSN:0360-0300
1557-7341
DOI:10.1145/3604605