Multilabel Text Classification Using Transformers

Social media platforms are widely popular for communicating ideas, comments, and feelings. In a new digital age of communication, it is becoming more important to characterize online comments into their respective emotions to follow their intended meaning without visual cues that would normally be applied during in-person communication. Multilabel text classification is a method used to identify the multiple attitudes and emotions of a single comment. Specifically, multilabel classification can categorize a comment into numerous emotion classes whereas traditional classification would assign a comment the single best fit emotion. Using artificial intelligence and machine learning techniques, text can be classified and labeled with multiple emotions.

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Published
2024-10-11
DOI
https://doi.org/10.1109/urtc65039.2024.10937602
Primary Topic
Text and Document Classification Technologies
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article
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article

Multilabel Text Classification Using Transformers

Heather Milano
Text and Document Classification Technologies
article

Multilabel Text Classification Using Transformers

Heather Milano
article en

Abstract

Social media platforms are widely popular for communicating ideas, comments, and feelings. In a new digital age of communication, it is becoming more important to characterize online comments into their respective emotions to follow their intended meaning without visual cues that would normally be applied during in-person communication. Multilabel text classification is a method used to identify the multiple attitudes and emotions of a single comment. Specifically, multilabel classification can categorize a comment into numerous emotion classes whereas traditional classification would assign a comment the single best fit emotion. Using artificial intelligence and machine learning techniques, text can be classified and labeled with multiple emotions.

University of Massachusetts Lowell (US)
Quality Education
Openalex Percentile: Top 74%
Text and Document Classification Technologies
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