Automated Hashtag Hierarchy Generation Using Community Detection and the Shannon Diversity Index

Developing semantic hierarchies from user-created hashtags in social media can provide useful organizational structure to large volumes of data. However, construction of these hierarchies is difficult using established ontologies (e.g. WordNet [1]) due to the differences in the semantic and pragmati...

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Veröffentlicht in:	2022 IEEE 16th International Conference on Semantic Computing (ICSC) S. 59 - 66
Hauptverfasser:	Torene, Spencer, Howald, Blake
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2022
Schlagworte:	Indexes information entropy recommender systems Refining Semantics social computing Social networking (online) tagging text analysis Time series analysis Training data twitter Weight measurement
Online-Zugang:	Volltext
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