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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 51–75 of 247 papers

TitleStatusHype
Sequential Learning of Convolutional Features for Effective Text Classification—0
Multi-Granular Text Encoding for Self-Explaining Categorization—0
Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings—0
Text Categorization by Learning Predominant Sense of Words as Auxiliary TaskCode0
Leap-LSTM: Enhancing Long Short-Term Memory for Text CategorizationCode0
Heterogeneous Multi-task Metric Learning across Multiple Domains—0
Rep the Set: Neural Networks for Learning Set RepresentationsCode0
Learning with Inadequate and Incorrect Supervision—0
Learning Graph Pooling and Hybrid Convolutional Operations for Text RepresentationsCode0
Trigonometric comparison measure: A feature selection method for text categorization—0
Structure-Aware Convolutional Neural NetworksCode0
Handling Imbalanced Dataset in Multi-label Text Categorization using Bagging and Adaptive Boosting—0
A Text Classification Application: Poet Detection from Poetry—0
HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text CategorizationCode0
Revisiting neural relation classification in clinical notes with external informationCode0
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical ApplicationsCode0
SeVeN: Augmenting Word Embeddings with Unsupervised Relation VectorsCode0
Computing Word Classes Using Spectral Clustering—0
Document Informed Neural Autoregressive Topic ModelsCode0
Aspect and Sentiment Aware Abstractive Review Summarization—0
HeLI-based Experiments in Discriminating Between Dutch and Flemish Subtitles—0
Topic or Style? Exploring the Most Useful Features for Authorship AttributionCode0
A Unified RvNN Framework for End-to-End Chinese Discourse Parsing—0
MaxMin Linear Initialization for Fuzzy C-Means—0
Computationally efficient discrimination between language varieties with large feature vectors and regularized classifiers—0
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