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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 201–225 of 247 papers

TitleStatusHype
Mapping WordNet Domains, WordNet Topics and Wikipedia Categories to Generate Multilingual Domain Specific Resources—0
ColLex.en: Automatically Generating and Evaluating a Full-form Lexicon for English—0
Wikipedia-based Semantic Interpretation for Natural Language Processing—0
Creation of Lexical Relations for IndoWordNet—0
Compressive Feature Learning—0
Automatic Corpora Construction for Text Classification—0
The Bregman Variational Dual-Tree Framework—0
Cross-Language Plagiarism Detection Methods—0
Towards Basque Oral Poetry Analysis: A Machine Learning Approach—0
Text segmentation for Language Identification in Greek Forums—0
GPKEX: Genetically Programmed Keyphrase Extraction from Croatian Texts—0
A Semi-supervised Approach for Natural Language Call Routing—0
TopicSpam: a Topic-Model based approach for spam detection—0
Latent Semantic Matching: Application to Cross-language Text Categorization without Alignment Information—0
Text Classification from Positive and Unlabeled Data using Misclassified Data Correction—0
Categorization of Turkish News Documents with Morphological Analysis—0
Bridging Languages through Etymology: The case of cross language text categorization—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
The Story of the Characters, the DNA and the Native Language—0
From high heels to weed attics: a syntactic investigation of chick lit and literature—0
ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements—0
DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation—0
Negative Deceptive Opinion Spam—0
An Examination of Regret in Bullying Tweets—0
Measuring Term Informativeness in Context—0
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