Publication Type:

Journal Article

Source:

Advances in Intelligent Systems and Computing, Springer Verlag, Volume 385, p.387-397 (2016)

ISBN:

9783319232577

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84985031160&partnerID=40&md5=d48dedcb88bbea576f235a6bb3f07e31

Keywords:

Dictionary learning, Distributed environments, Document Classification, Emerging topics, Hierarchical dictionary structure, Information retrieval systems, Innovative algorithms, Intelligent systems, Structured dictionary, Worker nodes

Abstract:

<p>Classification, clustering of documents, detecting novel documents, detecting emerging topics etc in a fast and efficient way, is of high relevance these days with the volume of online generated documents increasing rapidly. Experiments have resulted in innovative algorithms, methods and frameworks to address these problems. One such method is Dictionary Learning. We introduce a new 2-level hierarchical dictionary structure for classification such that the dictionary at the higher level is utilized to classify the K classes of documents. The results show around an 85% recall during the classification phase. This model can be extended to distributed environment where the higher level dictionary should be maintained at the master node and the lower level ones should be kept at worker nodes. © Springer International Publishing Switzerland 2016.</p>

Notes:

cited By 0; Conference of International Symposium on Intelligent Systems Technologies and Applications, ISTA 2015 co-located with 4th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015 ; Conference Date: 10 August 2015 Through 13 August 2015; Conference Code:179339

Cite this Research Publication

Remya Rajesh and Aswathi, P., “Document classification with hierarchically structured dictionaries”, Advances in Intelligent Systems and Computing, vol. 385, pp. 387-397, 2016.