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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 151–175 of 247 papers

TitleStatusHype
Complex Decomposition of the Negative Distance kernel—0
Bag Reference Vector for Multi-instance Learning—0
N-Gramas de Caractere como T\'ecnica de Normaliza \~ao Morfol\'ogica para L\' Portuguesa: Um Estudo em Categoriza \~ao de Textos (Character N-grams as a Morphological Normalization Technique for Portuguese Language: A Study in Text Categorization)—0
A Machine Learning Method to Distinguish Machine Translation from Human Translation—0
Cross-lingual Synonymy Overlap—0
Towards Improving Dialogue Topic Tracking Performances with Wikification of Concept Mentions—0
Learning Timeline Difference for Text Categorization—0
Convolutional Sentence Kernel from Word Embeddings for Short Text Categorization—0
Multi-label Text Categorization with Joint Learning Predictions-as-Features Method—0
Reducing Over-generation Errors for Automatic Keyphrase Extraction using Integer Linear Programming—0
Radical Embedding: Delving Deeper to Chinese Radicals—0
Linguistic Template Extraction for Recognizing Reader-Emotion and Emotional Resonance Writing Assistance—0
KeLP: a Kernel-based Learning Platform for Natural Language Processing—0
Automatic Keyword Extraction on Twitter—0
Semantic Clustering and Convolutional Neural Network for Short Text Categorization—0
Text Categorization as a Graph Classification Problem—0
A Method of Accounting Bigrams in Topic Models—0
SWASH: A Naive Bayes Classifier for Tweet Sentiment Identification—0
Discriminative and Consistent Similarities in Instance-Level Multiple Instance Learning—0
Topic Models: Accounting Component Structure of Bigrams—0
Active Learning with Rationales for Text Classification—0
Digital Leafleting: Extracting Structured Data from Multimedia Online Flyers—0
Fast Sampling for Bayesian Max-Margin Models—0
Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding—0
Arabic Text Categorization Algorithm using Vector Evaluation Method—0
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