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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
BERT-based Chinese Text Classification for Emergency Domain with a Novel Loss Function—0
A Practical Perspective on Latent Structured Prediction for Coreference Resolution—0
Bridging Languages through Etymology: The case of cross language text categorization—0
Can characters reveal your native language? A language-independent approach to native language identification—0
Categorization of Turkish News Documents with Morphological Analysis—0
Character-based recurrent neural networks for morphological relational reasoning—0
Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words—0
Cluster Based Symbolic Representation for Skewed Text Categorization—0
A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing—0
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set—0
ColLex.en: Automatically Generating and Evaluating a Full-form Lexicon for English—0
Complex Decomposition of the Negative Distance kernel—0
Compressive Feature Learning—0
Compression-Based Regularization with an Application to Multi-Task Learning—0
A Study of Association Measures and their Combination for Arabic MWT Extraction—0
Computing Word Classes Using Spectral Clustering—0
Concreteness and Subjectivity as Dimensions of Lexical Meaning—0
Consistent Text Categorization using Data Augmentation in e-Commerce—0
An approach based on Combination of Features for automatic news retrieval—0
Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level—0
Convolutional Sentence Kernel from Word Embeddings for Short Text Categorization—0
Creation of Lexical Relations for IndoWordNet—0
Cross-Language Plagiarism Detection Methods—0
Cross-lingual and generic text categorization (Apprentissage d'une classification th\'ematique g\'en\'erique et cross-langue \`a partir des cat\'egories de la Wikip\'edia) [in French]—0
Analysis of opinionated text for opinion mining—0
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