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Combining content analysis and neural networks to analyze discussion topics in online comments about organic food

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Combining content analysis and neural networks to analyze discussion topics in online comments about organic food

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Danner, H.; Hagerer, G.; Kasischke, F.; Groh, G. (2020). Combining content analysis and neural networks to analyze discussion topics in online comments about organic food. Editorial Universitat Politècnica de València. 211-219. https://doi.org/10.4995/CARMA2020.2020.11632

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/149000

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Title: Combining content analysis and neural networks to analyze discussion topics in online comments about organic food
Author: Danner, Hannah Hagerer, Gerhard Kasischke, Florian Groh, Georg
Issued date:
Abstract:
[EN] Consumers increasingly share their opinions about products in social media. However, the analysis of this user-generated content is limited either to small, in-depth qualitative analyses or to larger but often more ...[+]
Subjects: Web data , Internet data , Big data , Qca , Pls , Sem , Conference , Deep neural networks , Natural language processing , Consumer research , Content analysis , Social media , Organic food
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
ISBN: 9788490488324
DOI: 10.4995/CARMA2020.2020.11632
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/CARMA/CARMA2020/paper/view/11632
Conference name: CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics
Conference place: Valencia, Spain
Conference date: Julio 08-09,2020
Type: Capítulo de libro Comunicación en congreso

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