Clustering-Based Joint Topic-Sentiment Modeling of Social Media Data: A Neural Networks Approach

David Hanny; Bernd Resch

doi:10.3390/info15040200

Clustering-Based Joint Topic-Sentiment Modeling of Social Media Data: A Neural Networks Approach

David Hanny^*, Bernd Resch

^*Corresponding author for this work

Geoinformatics

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	200
Journal	Information (Switzerland)
Volume	15
Issue number	4
DOIs	https://doi.org/10.3390/info15040200
Publication status	Published - Apr 2024

Bibliographical note

Publisher Copyright:
© 2024 by the authors.

Keywords

natural language processing
semantic analysis
sentiment analysis
social media
topic modeling
topic-sentiment modeling

Fields of Science and Technology Classification 2012

211 Other Technical Sciences

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10.3390/info15040200

Cite this

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title = "Clustering-Based Joint Topic-Sentiment Modeling of Social Media Data: A Neural Networks Approach",

keywords = "natural language processing, semantic analysis, sentiment analysis, social media, topic modeling, topic-sentiment modeling",

author = "David Hanny and Bernd Resch",

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doi = "10.3390/info15040200",

language = "English",

volume = "15",

journal = "Information (Switzerland)",

issn = "2078-2489",

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AU - Resch, Bernd

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KW - natural language processing

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JO - Information (Switzerland)

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Clustering-Based Joint Topic-Sentiment Modeling of Social Media Data: A Neural Networks Approach

Bibliographical note

Keywords

Fields of Science and Technology Classification 2012

Access to Document

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Cite this