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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 201–247 of 247 papers

TitleStatusHype
VarClass: An Open-source Language Identification Tool for Language Varieties—0
Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization—0
A Comparative Study of Pretrained Language Models on Thai Social Text Categorization—0
Wikipedia-based Semantic Interpretation for Natural Language Processing—0
A Comparative Study on using Principle Component Analysis with Different Text Classifiers—0
A comparison of latent semantic analysis and correspondence analysis of document-term matrices—0
A Composite Kernel Approach for Dialog Topic Tracking with Structured Domain Knowledge from Wikipedia—0
Active Learning with Rationales for Text Classification—0
A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing—0
A good space: Lexical predictors in word space evaluation—0
A Hidden Variables Approach to Multilabel Logistic Regression—0
A Joint Probabilistic Classification Model of Relevant and Irrelevant Sentences in Mathematical Word Problems—0
A Joint Segmentation and Classification Framework for Sentiment Analysis—0
A Machine Learning Framework for Authorship Identification From Texts—0
A Machine Learning Method to Distinguish Machine Translation from Human Translation—0
A Method of Accounting Bigrams in Topic Models—0
Analysis of opinionated text for opinion mining—0
An approach based on Combination of Features for automatic news retrieval—0
A New Feature Selection Technique Combined with ELM Feature Space for Text Classification—0
An Examination of Regret in Bullying Tweets—0
Annotation Artifacts in Natural Language Inference Data—0
A Novel Feature Selection and Extraction Technique for Classification—0
A Novel Term_Class Relevance Measure for Text Categorization—0
An Unsupervised Morphological Criterion for Discriminating Similar Languages—0
A Personalized Markov Clustering and Deep Learning Approach for Arabic Text Categorization—0
A Practical Perspective on Latent Structured Prediction for Coreference Resolution—0
A Proposal of Automatic Error Correction in Text—0
Arabic Text Categorization Algorithm using Vector Evaluation Method—0
A Semi-supervised Approach for Natural Language Call Routing—0
Aspect and Sentiment Aware Abstractive Review Summarization—0
A Study of Association Measures and their Combination for Arabic MWT Extraction—0
A Text Classification Application: Poet Detection from Poetry—0
A Unified RvNN Framework for End-to-End Chinese Discourse Parsing—0
Auto-clustering Output Layer: Automatic Learning of Latent Annotations in Neural Networks—0
Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization using Large-Scale Gazetteers—0
Automatic Categorization of Tagalog Documents Using Support Vector Machines—0
Automatic Classification by Topic Domain for Meta Data Generation, Web Corpus Evaluation, and Corpus Comparison—0
Automatic Corpora Construction for Text Classification—0
Automatic Generation of Language-Independent Features for Cross-Lingual Classification—0
Automatic Keyphrase Extraction: A Survey of the State of the Art—0
Automatic Keyword Extraction on Twitter—0
A Visual Quality Index for Fuzzy C-Means—0
BabelDomains: Large-Scale Domain Labeling of Lexical Resources—0
Bag Reference Vector for Multi-instance Learning—0
Balancing Between Over-Weighting and Under-Weighting in Supervised Term Weighting—0
Baselines and Bigrams: Simple, Good Sentiment and Topic Classification—0
Bayesian Kernel Methods for Natural Language Processing—0
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