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The central aim is to evaluate the effectiveness of using dictionaries to expand lexicons for textual analysis.

May 16, 2026Open Access

Lexpansion:Evaluating dictionary based lexicon expansion for social media analysis

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The central aim is to evaluate the effectiveness of using dictionaries to expand lexicons for textual analysis.
Utilized supervised learning for lexicon expansion with dictionaries.
Analyzed dictionaries with different properties including noise and structure.
Applied a transformer model (BERT) to assign categories to terms based on definitions.
The approach demonstrated improved accuracy in text analysis compared to static lexicons.
Expanded lexicons showed better coverage and labeling consistency during evaluations.
Dictionary-based expansion was found to be a robust method for handling semantic shifts.

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Randomized trial evaluates lexicon expansion using supervised learning in social media contexts, suggesting a robust solution.

Bahgat et al. (2025) studied this question.

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