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From Text to Understanding
Using Fuzzy Sets to Analyse Free-Form Text Data
Milos Svaňa, Frantisek Zapletal, Miroslav Hudec
168,95 €
+ 337 points
Description
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.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 112
- Langue:
- Anglais
- Collection :
Caractéristiques
- EAN:
- 9783032001283
- Date de parution :
- 27-09-25
- Format:
- Livre relié
- Format numérique:
- Genaaid
- Dimensions :
- 163 mm x 238 mm
- Poids :
- 349 g
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+ 337 points sur votre carte client de Librairie Club
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