Deepening and Practical Application of Sentiment Analysis
Through Exploration of Public Interest and Sentiment on “Biodiversity” From Twitter
Bibliographic Data
| ID | 21314731 |
|---|---|
| Authors | Shimon Ohtani (0000-0001-8414-9248, The University of Tokyo, Bunkyo-ku, Tokyo, Japan, corresponding author) |
| Year | 2024 |
| Volume | 56 |
| Issue | 7-8 |
| Pages | 471-515 |
| Publication date | 2024-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Behavior (JOURNAL) |
| Journal identifiers | ISSN: 0013-9165 • E-ISSN: 1552-390X |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/00139165241298067 |
| OpenAlex | W4404487480 |
| Language | EN |
| References cited | 81 |
With the evolution of information technology, dramatic innovations in computerized mining techniques and opinion mining from SNS, especially sentiment analysis, have been gaining attention in predicting the feasibility of global environmental policy implementation. However, discussions on how to more effectively apply analytical results to strategy building for global biodiversity governance have yet to progress. This paper proposes a strategy-building framework for promoting pro-environmental behaviors on biodiversity conservation and attempts to extract sentiment information (especially fear, sadness, and anticipation) from posts on Twitter (X) in 2021 and 2022 using natural language processing (NLP). The results showed that sentiments of fear, sadness, and anticipation were prominent in both years regarding topics related to species extinction and decline, as well as the 30by30 initiative. Furthermore, based on the information on the sentiment-inducing factors identified from the analysis results, we presented practical examples of strategy building for pro-environmental behavior promotion, according to the framework
Biodiversity · Biology · Data science · Political science · Public interest · Sentiment analysis · Sociology · Artificial Intelligence · Computational and Text Analysis Methods · Computer Science · Digital Marketing and Social Media · Ecology · Environmental Education and Sustainability · Law · Psychology
Sentiment Analysis and Opinion Mining
Latent Dirichlet allocation (LDA) and topic modeling
Nudging pro‐environmental behavior
Emotion and Decision Making
Changing environmentally harmful behaviors
Advances in natural language processing
A Global Deal For Nature
Vader
LDAvis
Environmental Psychology Matters
What explains public support for climate policies? A review of empirical and experimental studies
Exploring the Space of Topic Coherence Measures
The “New Environmental Paradigm”
Sensing Tourist Distributions and Their Sentiment Variations Using Social Media
False news around Covid-19 circulated less on Sina Weibo than on Twitter. How to overcome false information
Normative Influences on Altruism
Biodiversity and Environmental Philosophy
Beyond the ecocentric
Ecosystem Services
Analyzing Twitter Data to Evaluate People’s Attitudes towards Public Health Policies and Events in the Era of Covid-19
Stakeholder analysis
The effects of framing on environmental decisions
Enhancing Nature Conservation and Health
A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and Bertopic to Demystify Twitter Posts
Advancing the potential impact of future scenarios by integrating psychological principles
Probabilistic network analysis of social-ecological relationships emerging from EU Life projects for nature and biodiversity
Sentiment analysis of public services for smart society
Public Opinion and Dynamic Representation in the American States
Amplifying Public Opinion
New Environmental Theories
Critical Questions for Big Data
Public support for environmental policy depends on beliefs concerning effectiveness, intrusiveness, and fairness
| Highly cited | No |
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