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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 76–100 of 247 papers

TitleStatusHype
A Comparative Study on using Principle Component Analysis with Different Text Classifiers—0
A Visual Quality Index for Fuzzy C-Means—0
The Importance of Calibration for Estimating Proportions from Annotations—0
Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text ClassificationCode0
INGEOTEC at SemEval-2018 Task 1: EvoMSA and μTC for Sentiment Analysis—0
A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing—0
Modeling Trolling in Social Media Conversations—0
Linking, Searching, and Visualizing Entities in Wikipedia—0
Multilingual Multi-class Sentiment Classification Using Convolutional Neural NetworksCode0
Online Multi-Label Classification: A Label Compression Method—0
Annotation Artifacts in Natural Language Inference Data—0
Authorship Attribution Using the Chaos Game RepresentationCode0
Automatic Generation of Language-Independent Features for Cross-Lingual Classification—0
Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced Understanding of Data—0
Textual Relations and Topic-Projection: Issues in Text Categorization—0
Compression-Based Regularization with an Application to Multi-Task Learning—0
Diversifying Neural Conversation Model with Maximal Marginal Relevance—0
Automatic Categorization of Tagalog Documents Using Support Vector Machines—0
Character-based recurrent neural networks for morphological relational reasoning—0
Fast and Accurate Decision Trees for Natural Language Processing Tasks—0
Shortest-Path Graph Kernels for Document Similarity—0
Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words—0
Finding a Character's Voice: Stylome Classification on Literary Characters—0
IKM at SemEval-2017 Task 8: Convolutional Neural Networks for stance detection and rumor verification—0
SentiHeros at SemEval-2017 Task 5: An application of Sentiment Analysis on Financial Tweets—0
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