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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
Data Mining with Shallow vs. Linguistic Features to Study Diversification of Scientific Registers—0
Mapping WordNet Domains, WordNet Topics and Wikipedia Categories to Generate Multilingual Domain Specific Resources—0
VarClass: An Open-source Language Identification Tool for Language Varieties—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
Text segmentation for Language Identification in Greek Forums—0
Towards Basque Oral Poetry Analysis: A Machine Learning Approach—0
Cross-Language Plagiarism Detection Methods—0
Categorization of Turkish News Documents with Morphological Analysis—0
TopicSpam: a Topic-Model based approach for spam detection—0
A Semi-supervised Approach for Natural Language Call Routing—0
Text Classification from Positive and Unlabeled Data using Misclassified Data Correction—0
Bridging Languages through Etymology: The case of cross language text categorization—0
GPKEX: Genetically Programmed Keyphrase Extraction from Croatian Texts—0
Latent Semantic Matching: Application to Cross-language Text Categorization without Alignment Information—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
An Examination of Regret in Bullying Tweets—0
DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation—0
Negative Deceptive Opinion Spam—0
ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements—0
The Story of the Characters, the DNA and the Native Language—0
Measuring Term Informativeness in Context—0
From high heels to weed attics: a syntactic investigation of chick lit and literature—0
Feature Selection Based on Term Frequency and T-Test for Text Categorization—0
Semantic Similarity Computation for Abstract and Concrete Nouns Using Network-based Distributional Semantic Models—0
DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets—0
Graph-based Semi-Supervised Learning Algorithms for NLP—0
Towards Building a Multilingual Semantic Network: Identifying Interlingual Links in Wikipedia—0
Baselines and Bigrams: Simple, Good Sentiment and Topic Classification—0
Modeling Topic Dependencies in Hierarchical Text Categorization—0
langid.py: An Off-the-shelf Language Identification Tool—0
State-of-the-Art Kernels for Natural Language Processing—0
Effect of small sample size on text categorization with support vector machines—0
Irregularity Detection in Categorized Document Corpora—0
Improving K-Nearest Neighbor Efficacy for Farsi Text Classification—0
SemSim: Resources for Normalized Semantic Similarity Computation Using Lexical Networks—0
A good space: Lexical predictors in word space evaluation—0
French and German Corpora for Audience-based Text Type Classification—0
Is it Useful to Support Users with Lexical Resources? A User Study.—0
Inverse-Category-Frequency based supervised term weighting scheme for text categorizationCode0
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization—0
Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization—0
Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scalesCode0
A Sequential Algorithm for Training Text ClassifiersCode0
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