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From Text to Understanding
Using Fuzzy Sets to Analyse Free-Form Text Data
Angleščina
412 b
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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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