Text Categorization

2 items

RESEARCHDEV.to AI·4/27/2026

Using WordNet to Complement Training Information in Text Categorization

This content discusses the application of WordNet to complement training information in text categorization. It focuses on leveraging semantic data from WordNet to improve the performance and accuracy of text classification models.

Text Categorization machine learning Natural Language Processing WordNet

RESEARCHarXiv CS.CL·4/15/2026

Leveraging Weighted Syntactic and Semantic Context Assessment Summary (wSSAS) Towards Text Categorization Using LLMs

This paper introduces the Weighted Syntactic and Semantic Context Assessment Summary (wSSAS), a deterministic framework to optimize text categorization using LLMs. It addresses LLM limitations by organizing text hierarchically and employing a Signal-to-Noise Ratio (SNR) to focus on high-value semantic features.

LLMs data integrity Text Categorization Natural Language Processing