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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

Showing 201247 of 247 papers

TitleStatusHype
Mapping WordNet Domains, WordNet Topics and Wikipedia Categories to Generate Multilingual Domain Specific Resources0
ColLex.en: Automatically Generating and Evaluating a Full-form Lexicon for English0
Wikipedia-based Semantic Interpretation for Natural Language Processing0
Creation of Lexical Relations for IndoWordNet0
Compressive Feature Learning0
Automatic Corpora Construction for Text Classification0
The Bregman Variational Dual-Tree Framework0
Cross-Language Plagiarism Detection Methods0
Towards Basque Oral Poetry Analysis: A Machine Learning Approach0
Text segmentation for Language Identification in Greek Forums0
GPKEX: Genetically Programmed Keyphrase Extraction from Croatian Texts0
A Semi-supervised Approach for Natural Language Call Routing0
TopicSpam: a Topic-Model based approach for spam detection0
Latent Semantic Matching: Application to Cross-language Text Categorization without Alignment Information0
Text Classification from Positive and Unlabeled Data using Misclassified Data Correction0
Categorization of Turkish News Documents with Morphological Analysis0
Bridging Languages through Etymology: The case of cross language text categorization0
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 Language0
From high heels to weed attics: a syntactic investigation of chick lit and literature0
ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements0
DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation0
Negative Deceptive Opinion Spam0
An Examination of Regret in Bullying Tweets0
Measuring Term Informativeness in Context0
Feature Selection Based on Term Frequency and T-Test for Text Categorization0
Semantic Similarity Computation for Abstract and Concrete Nouns Using Network-based Distributional Semantic Models0
DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets0
Towards Building a Multilingual Semantic Network: Identifying Interlingual Links in Wikipedia0
State-of-the-Art Kernels for Natural Language Processing0
Graph-based Semi-Supervised Learning Algorithms for NLP0
langid.py: An Off-the-shelf Language Identification Tool0
Modeling Topic Dependencies in Hierarchical Text Categorization0
Baselines and Bigrams: Simple, Good Sentiment and Topic Classification0
Effect of small sample size on text categorization with support vector machines0
Improving K-Nearest Neighbor Efficacy for Farsi Text Classification0
A good space: Lexical predictors in word space evaluation0
French and German Corpora for Audience-based Text Type Classification0
Is it Useful to Support Users with Lexical Resources? A User Study.0
Irregularity Detection in Categorized Document Corpora0
SemSim: Resources for Normalized Semantic Similarity Computation Using Lexical Networks0
Inverse-Category-Frequency based supervised term weighting scheme for text categorizationCode0
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization0
Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization0
Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scalesCode0
Latent Dirichlet AllocationCode1
A Sequential Algorithm for Training Text ClassifiersCode0
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