Hierarchical Document Classification Based on a Backtracking Algorithm

Zhu, Cuiling; Ma, Jun; Zhang, Dongmei; Han, Xiaohui; Niu, Xiaofei

doi:10.1109/fskd.2008.346

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…In [31] hierarchical document classification method based on a backtracking algorithm is proposed. This method utilizes the relationships between categories in category tree finding a threshold for every category to determine whether a document could be classified into the category.…”

Section: Text Categorizationmentioning

confidence: 99%

Artificial Intelligence in Knowledge Management: Overview and Trends

Birzniece¹

2011

Scientific Journal of Riga Technical University. Computer Sciences

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-Artificial intelligence techniques offer powerful tools for the development of knowledge management systems. Since the early 2000s, no survey describing the use of artificial intelligence capabilities in knowledge management tasks has been conducted. This paper gathers and organizes latest achievements of artificial intelligence in dealing with knowledge management issues. Accomplishment of previously set objectives in this field has been studied.

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Section: Text Categorizationmentioning

confidence: 99%

Artificial Intelligence in Knowledge Management: Overview and Trends

Birzniece¹

2011

Scientific Journal of Riga Technical University. Computer Sciences

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Hierarchical Classification of OAI Metadata Using the DDC Taxonomy

Waltinger

Mehler

Lösch

et al. 2011

Advanced Language Technologies for Digital Libraries

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New Approaches to Extract Information From Posts on COVID-19 Published on Reddit

Bonifazi

Corradini

Ursino

et al. 2022

Int. J. Info. Tech. Dec. Mak.

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In the last two years, we have seen a huge number of debates and discussions on COVID-19 in social media. Many authors have analyzed these debates on Facebook and Twitter, while very few ones have considered Reddit. In this paper, we focus on this social network and propose three approaches to extract information from posts on COVID-19 published in it. The first performs a semi-automatic and dynamic classification of Reddit posts. The second automatically constructs virtual subreddits, each characterized by homogeneous themes. The third automatically identifies virtual communities of users with homogeneous themes. The three approaches represent an advance over the past literature. In fact, the latter lacks studies regarding classification algorithms capable of outlining the differences among the thousands of posts on COVID-19 in Reddit. Analogously, it lacks approaches able to build virtual subreddits with homogeneous topics or virtual communities of users with common interests.

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Hierarchical Document Classification Based on a Backtracking Algorithm

Cited by 3 publications

References 2 publications

Artificial Intelligence in Knowledge Management: Overview and Trends

Artificial Intelligence in Knowledge Management: Overview and Trends

Hierarchical Classification of OAI Metadata Using the DDC Taxonomy

New Approaches to Extract Information From Posts on COVID-19 Published on Reddit

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