Evolutionary ANNs for Improving Accuracy and Efficiency in Document Classification Methods

Azzini, Antonia; Ceravolo, Paolo

doi:10.1007/11893011_140

Cited by 1 publication

(1 citation statement)

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“…The fact that all these terms have seen a noticeable rise in frequency demonstrates the increasing importance of performance evaluation in TC-related research. Accuracy and recall (also termed sensitivity ) were widely used and extensively discussed in earlier studies (e.g., Azzini & Ceravolo, 2006; Sordo & Zeng, 2005; Zahedi & Sorkhi, 2013), and are thus considered classical indicators to measure classification performance. F-measure or F-score , though underused earlier, have received more attention in recent years as their normalized frequency has more than tripled from periods 1 to 3.…”

Section: Resultsmentioning

confidence: 99%

The Research Trends of Text Classification Studies (2000–2020): A Bibliometric Analysis

Zhu

Lei

2022

Sage Open

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Text Classification (TC) is the process of assigning several different categories to a set of texts. This study aims to evaluate the state of the arts of TC studies. Firstly, TC-related publications indexed in Web of Science were selected as data. In total, 3,121 TC-related publications were published in 760 journals between 2000 and 2020. Then, the bibliographic information was mined to identify the publication trends, important contributors, publication venues, and involved disciplines. Besides, a thematic analysis was performed to extract topics with increasing/decreasing popularity. The findings showed that TC has become a fast-growing interdisciplinary area, and that emerging research powers such as China are playing increasingly important roles in TC research. Moreover, the thematic analysis showed increased interest in topics concerning advanced classification algorithms, performance evaluation methods, and the practical applications of TC. This study will help researchers recognize the recent trends in the area.

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Section: Resultsmentioning

confidence: 99%