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Erschienen in:
2018 | OriginalPaper | Buchkapitel
6. Conclusions and Perspectives
verfasst von : Dimitrios Milioris
Erschienen in: Topic Detection and Classification in Social Networks
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Abstract
This book introduced and compared two novel topic detection and classification methods based on Joint Complexity and Compressive Sensing. In the first case, the joint sequence complexity and its application was studied, towards finding similarities between sequences up to the discrimination of sources. We exploited datasets from different natural languages using both short and long sequences. We provided models and notations, presented the theoretical analysis, and we applied our methodology to real messages from Twitter, where we evaluated our proposed methodology on topic detection, classification and trend sensing, and we performed automated online sequence analysis.