Work

Text Classification by Augmenting Bag of Words (BOW) Representation with Co-occurrence Feature

Year: 2014

Type: article

Abstract: Text classification is the task of assigning predefined categories to free-text documents based on their content.Traditional approaches used unigram based models for text classification.Unigram based models such as Bag Of Words(BOW) models are not considering co-occurrence of set of words in a document level.This paper proposes a way to find co-occurrence feature from anchor text of wikipedia pages, proposes a way to incorporate co-occurrence feature to BOW model.Finally the method is analyzed to know how it performs in task of text classification.

Source: IOSR Journal of Computer Engineering

DOI: 10.9790/0661-16153438

Authors: Soumya George K, Shibily Joseph

Institution: Government Engineering College Thrissur

Language: English

Topic: Text and Document Classification Technologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W2334175399

FWCI: 2.085

Cites: 19

Cited by: 102

Related to: 10