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Anomalous Topic Detection in Text Data by Brightworld Projects is a document available to read on EtoBox.
What is Anomalous Topic Detection in Text Data about?
The document proposes an algorithm for detecting anomalous clusters in high dimensional discrete data by finding groups of anomalies that collectively exhibit abnormal patterns in a small subset of features. The algorithm is applied to detecting anomalous topics in text documents. Experimental results on synthetic and real-world text corpora show the method can accurately detect anomalous topics and salient words.
- Author
- Brightworld Projects
- Language
- EN