Compression Based Modeling for Classification of Text Documents

Title

Compression Based Modeling for Classification of Text Documents

Creator

Bhushan S.N.B.; Danti A.

Description

Classification of text data one of the well known, interesting research topic in computer science and knowledge engineering. This research article, address the classification of text files issue using lzw text compression algorithms. LZW is a lossless compression technique which requires two pass on the input data. These two passes are treated separately as training stage and text stage for classification of text data. The proposed compression based classification technique is tested on publically available datasets. Results of the experiments shows the effectiveness of the proposed algorithm. 2019, Springer Nature Singapore Pte Ltd.

Source

Communications in Computer and Information Science, Vol-1037, pp. 707-715.

Date

2019-01-01

Publisher

Springer Verlag

Subject

Compressed representation; LZW text compression; Text classification

Coverage

Bhushan S.N.B., Department of Computer Science and Engineering, Sahyadri College of Engineering & Management, Mangaluru, India; Danti A., Faculty of Engineering-CSE, Christ (Deemed to be University), Kengeri Campus, Bangalore, 560074, India

Rights

Restricted Access

Relation

ISSN: 18650929; ISBN: 978-981139186-6

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-13-9187-3_63

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070228497&doi=10.1007%2f978-981-13-9187-3_63&partnerID=40&md5=49a103a3ee5cb18e60ac48e2ae24d46a