Analysis of the Technologies and Methods of Textual Emotion Analysis

This paper reviews the development situation in Textual Emotion Analysis (TEA) and summarises the basic and mainstream methods of textual emotion analysis. This review explores how the researchers usually use these methods, the dataset of relevant research, the core features of these methods and their strengths and weaknesses. Specifically, this paper analyses the traditional and advanced usage modes in textual emotion analysis and provides insights into the recent relevant research and its results. Moreover, this paper points out the current challenges of textual emotion analysis, its possible solution and the future researches of textual emotion analysis. This paper fills an essential aspect of textual emotion analysis by summarizing and describing textual emotion analysis methodologies in detail, which can help the research in textual emotion analysis. The language structure of humans has become increasingly complex, which results in the challenges of textual emotion analysis. The standard and simple methods cannot provide a great solution to the current challenges. It is essential to understand the development situation and prospects of textual emotion analysis, as well as its creative methods the core features and effective usage mode in textual emotion analysis.

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Publication Details

Journal
Applied and Computational Engineering
Published
2025-06-20
DOI
https://doi.org/10.54254/2755-2721/2025.gl24069
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
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Analysis of the Technologies and Methods of Textual Emotion Analysis

Pengyuan Miao
Applied and Computational Engineering
Sentiment Analysis and Opinion Mining
article

Analysis of the Technologies and Methods of Textual Emotion Analysis

Pengyuan Miao
article en

Abstract

This paper reviews the development situation in Textual Emotion Analysis (TEA) and summarises the basic and mainstream methods of textual emotion analysis. This review explores how the researchers usually use these methods, the dataset of relevant research, the core features of these methods and their strengths and weaknesses. Specifically, this paper analyses the traditional and advanced usage modes in textual emotion analysis and provides insights into the recent relevant research and its results. Moreover, this paper points out the current challenges of textual emotion analysis, its possible solution and the future researches of textual emotion analysis. This paper fills an essential aspect of textual emotion analysis by summarizing and describing textual emotion analysis methodologies in detail, which can help the research in textual emotion analysis. The language structure of humans has become increasingly complex, which results in the challenges of textual emotion analysis. The standard and simple methods cannot provide a great solution to the current challenges. It is essential to understand the development situation and prospects of textual emotion analysis, as well as its creative methods the core features and effective usage mode in textual emotion analysis.

Applied and Computational EngineeringVol. 162(1)
Tianjin Normal University (CN)
Quality Education
Openalex Percentile: Top 93%
Sentiment Analysis and Opinion Mining
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