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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 51–100 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
Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence—0
Cross-lingual Synonymy Overlap—0
Data Mining with Shallow vs. Linguistic Features to Study Diversification of Scientific Registers—0
Deep learning models for representing out-of-vocabulary words—0
Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced Understanding of Data—0
DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets—0
DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation—0
DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs—0
Dense Components in the Structure of WordNet—0
Digital Leafleting: Extracting Structured Data from Multimedia Online Flyers—0
DISCO: A System Leveraging Semantic Search in Document Review—0
Automatic Keyphrase Extraction: A Survey of the State of the Art—0
Discriminative and Consistent Similarities in Instance-Level Multiple Instance Learning—0
Diversifying Neural Conversation Model with Maximal Marginal Relevance—0
A Visual Quality Index for Fuzzy C-Means—0
ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements—0
EEF: Exponentially Embedded Families with Class-Specific Features for Classification—0
Effect of small sample size on text categorization with support vector machines—0
Effects of term weighting approach with and without stop words removing on Arabic text classification—0
Efficient multivariate sequence classification—0
Balancing Between Over-Weighting and Under-Weighting in Supervised Term Weighting—0
Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization—0
Fast and Accurate Decision Trees for Natural Language Processing Tasks—0
Fast Sampling for Bayesian Max-Margin Models—0
Feature Hashing for Language and Dialect Identification—0
Analysis of opinionated text for opinion mining—0
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