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https://i126.fastpic.org/big/2025/0930/92/4a63434d7e2fb4a838e002bdcdfbc692.avif
English | 2025 | ISBN-10: 3032001285 | 131 pages| Epub PDF (True) | 16 MB

Social media and other sources of text data are still underutilized resources in public decision-making. Most public organizations and governmental bodies rely mainly only surveys, interviews and other traditional methods for gathering opinions. One issues is a lack of easy-to-use tools for mass text data processing that would enable these organizations to process and understand this type of data.
This book introduces a novel text data analysis framework designed for public decision making, specifically on the level of municipalities. The framework combines sentiment analysis with topic modelling and a fuzzy-based approach for capturing the diversity in sentiment arising from the fact that different people have different opinions on a given topic.
The book is recommended for practitioners in public decision making as well as researchers analyzing large amounts of text data in order to understand people's opinions.
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