SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 247 papers

TitleStatusHype
Latent Dirichlet AllocationCode1
Quantum Recurrent Neural Networks for Sequential LearningCode1
NatCat: Weakly Supervised Text Classification with Naturally Annotated ResourcesCode1
Improving Document Classification with Multi-Sense EmbeddingsCode1
Inverse-Category-Frequency based supervised term weighting scheme for text categorizationCode0
Learning Graph Pooling and Hybrid Convolutional Operations for Text RepresentationsCode0
Learning to Few-Shot Learn Across Diverse Natural Language Classification TasksCode0
Ensemble Quantile ClassifierCode0
Improving Arabic Text Categorization Using Transformer Training DiversificationCode0
HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text CategorizationCode0
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural NetworksCode0
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based ApproachCode0
Leap-LSTM: Enhancing Long Short-Term Memory for Text CategorizationCode0
A Model Ensemble Approach with LLM for Chinese Text ClassificationCode0
An Automated Text Categorization Framework based on Hyperparameter OptimizationCode0
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data SetCode0
Authorship Attribution Using Text DistortionCode0
Beyond original Research Articles Categorization via NLPCode0
Discriminating between Similar Languages using Weighted Subword FeaturesCode0
Document Informed Neural Autoregressive Topic ModelsCode0
Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text ClassificationCode0
Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive StudyCode0
A Sequential Algorithm for Training Text ClassifiersCode0
Improving Pre-Trained Weights Through Meta-Heuristics Fine-TuningCode0
Authorship Attribution Using the Chaos Game RepresentationCode0
Show:102550
← PrevPage 1 of 10Next →

No leaderboard results yet.