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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 176200 of 247 papers

TitleStatusHype
Text Classification from Positive and Unlabeled Data using Misclassified Data Correction0
Text Retrieval by Term Co-occurrences in a Query-based Vector Space0
Text segmentation for Language Identification in Greek Forums0
Textual Relations and Topic-Projection: Issues in Text Categorization0
The Bregman Variational Dual-Tree Framework0
The Importance of Calibration for Estimating Proportions from Annotations0
Theoretical Foundations of Forward Feature Selection Methods based on Mutual Information0
These are not the Stereotypes You are Looking For: Bias and Fairness in Authorial Gender Attribution0
The Story of the Characters, the DNA and the Native Language0
Topic Models: Accounting Component Structure of Bigrams0
TopicSpam: a Topic-Model based approach for spam detection0
Towards Basque Oral Poetry Analysis: A Machine Learning Approach0
Towards Building a Multilingual Semantic Network: Identifying Interlingual Links in Wikipedia0
Towards Improving Dialogue Topic Tracking Performances with Wikification of Concept Mentions0
Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings0
TPT: An Empirical Term Selection for Arabic Text Categorization0
Transductive Adaptation of Black Box Predictions0
Trigonometric comparison measure: A feature selection method for text categorization0
Tuning Traditional Language Processing Approaches for Pashto Text Classification0
Tunisian dialect Wordnet creation and enrichment using web resources and other Wordnets0
Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy0
UnibucKernel: An Approach for Arabic Dialect Identification Based on Multiple String Kernels0
Using Linear Classifiers for the Automatic Triage of Posts in the 2016 CLPsych Shared Task0
Using Word Embeddings for Italian Crime News Categorization0
UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination0
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