[論文レビュー] A Comprehensive Survey of Text Classification Techniques and Their Research Applications: Observational and Experimental Insights

Kamal Taha, Paul D. Yoo+2 more|arXiv (Cornell University)|Jan 11, 2024

Text and Document Classification Technologies被引用数 5

ひとこと要約

分類学駆動の調査で、テキスト分類技術を研究分野と方法論で分類し、技術を経験的・実験的に比較して分野別の指針を提供します。

ABSTRACT

The exponential growth of textual data presents substantial challenges in management and analysis, notably due to high storage and processing costs. Text classification, a vital aspect of text mining, provides robust solutions by enabling efficient categorization and organization of text data. These techniques allow individuals, researchers, and businesses to derive meaningful patterns and insights from large volumes of text. This survey paper introduces a comprehensive taxonomy specifically designed for text classification based on research fields. The taxonomy is structured into hierarchical levels: research field-based category, research field-based sub-category, methodology-based technique, methodology sub-technique, and research field applications. We employ a dual evaluation approach: empirical and experimental. Empirically, we assess text classification techniques across four critical criteria. Experimentally, we compare and rank the methodology sub-techniques within the same methodology technique and within the same overall research field sub-category. This structured taxonomy, coupled with thorough evaluations, provides a detailed and nuanced understanding of text classification algorithms and their applications, empowering researchers to make informed decisions based on precise, field-specific insights.

研究の動機と目的

• Create a hierarchical, field-based taxonomy for text classification
• Evaluate text classification techniques empirically across criteria
• Compare and rank methodology sub-techniques within the same technique and field
• Provide observational and experimental insights to guide researchers in method selection
• Enable field-specific understanding of algorithm applicability and limitations

提案手法

• Develop a hierarchical taxonomy with levels: research field category, research field sub-category, methodology technique, methodology sub-technique, and research field applications
• Apply empirical evaluation across four criteria to assess techniques
• Conduct experimental comparisons to rank sub-techniques within the same technique and field
• Use observational insights to complement experimental findings
• Synthesize results to aid researchers in making informed decisions

実験結果

リサーチクエスチョン

• RQ1 What constitutes a comprehensive, field-based taxonomy for text classification techniques?
• RQ2 How do text classification techniques compare across different research fields on defined empirical criteria?
• RQ3 How do methodology sub-techniques rank within the same technique and field based on experimental evidence?
• RQ4 What practical, field-specific guidance can be derived for selecting text classification methods?

主な発見

• The study offers a hierarchical taxonomy tailored to research fields.
• Empirical assessments cover four critical criteria for technique evaluation.
• Experimental comparisons provide rankings of sub-techniques within the same technique and field.
• The integrated taxonomy and evaluations yield nuanced, field-specific guidance for researchers.
• The approach enables informed decision-making for text classification method selection across domains.