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Text Categorization

Text Categorization is the task of automatically assigning pre-defined categories to documents written in natural languages. Several types of Text Categorization have been studied, each of which deals with different types of documents and categories, such as topic categorization to detect discussed topics (e.g., sports, politics), spam detection, and sentiment classification to determine the sentiment typically in product or movie reviews.

Source: Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

Papers

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Showing 1–25 of 247 papers

TitleStatusHype
Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy—0
A Model Ensemble Approach with LLM for Chinese Text ClassificationCode0
Effects of term weighting approach with and without stop words removing on Arabic text classification—0
Improving Large-Scale k-Nearest Neighbor Text Categorization with Label Autoencoders—0
Text Categorization Can Enhance Domain-Agnostic Stopword Extraction—0
Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive StudyCode0
Beyond original Research Articles Categorization via NLPCode0
Consistent Text Categorization using Data Augmentation in e-Commerce—0
Tuning Traditional Language Processing Approaches for Pashto Text Classification—0
SA-CNN: Application to text categorization issues using simulated annealing-based convolutional neural network optimization—0
Quantum Recurrent Neural Networks for Sequential LearningCode1
Improving Pre-Trained Weights Through Meta-Heuristics Fine-TuningCode0
Very Large Language Model as a Unified Methodology of Text MiningCode0
Supervised and Unsupervised Categorization of an Imbalanced Italian Crime News Dataset—0
High-performance automatic categorization and attribution of inventory catalogs—0
Monitoring Energy Trends through Automatic Information Extraction—0
Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization—0
TPT: An Empirical Term Selection for Arabic Text Categorization—0
Using Word Embeddings for Italian Crime News Categorization—0
A Proposal of Automatic Error Correction in Text—0
Text Ranking and Classification using Data CompressionCode0
BDCN: Semantic Embedding Self-explanatory Breast Diagnostic Capsules Network—0
A comparison of latent semantic analysis and correspondence analysis of document-term matrices—0
BERT-based Chinese Text Classification for Emergency Domain with a Novel Loss Function—0
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set—0
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