Multi label text classification for un-trained data through supervised learning

Publication Type

Conference Proceeding Article

Publication Date

6-2017

Abstract

World of digital data is growing at an aggressive rate, where every single minute new data is created and processed. All information retrieval processes are gone from insufficient to overflowing. It is doubling each and every year which makes information retrieval more challenging. Our focus is to turn this immense data streams from a liability to our strengths.

Keywords

Multi label classification, supervised learning, un-trained data, lexion, MITB student

Discipline

Databases and Information Systems | Data Science | Numerical Analysis and Scientific Computing

Publication

2017 International Conference on Intelligent Computing and Control (I2C2): Coimbatore, India, June 23-24: Proceedings

First Page

1

Last Page

3

ISBN

9781538603741

Identifier

10.1109/I2C2.2017.8321804

Publisher

IEEE

City or Country

Piscataway, NJ

Embargo Period

6-8-2021

Additional URL

https://doi.org/10.1109/I2C2.2017.8321804

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