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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 101–150 of 247 papers

TitleStatusHype
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment AnalysisCode0
Feature Hashing for Language and Dialect Identification—0
Cluster Based Symbolic Representation for Skewed Text Categorization—0
Semi-supervised Text Categorization Using Recursive K-means Clustering—0
JaTeCS an open-source JAva TExt Categorization System—0
Convex Formulation of Multiple Instance Learning from Positive and Unlabeled BagsCode0
An Automated Text Categorization Framework based on Hyperparameter OptimizationCode0
These are not the Stereotypes You are Looking For: Bias and Fairness in Authorial Gender Attribution—0
Discriminating between Similar Languages using Weighted Subword FeaturesCode0
Large-Scale Categorization of Japanese Product Titles Using Neural Attention Models—0
Multivariate Gaussian Document Representation from Word Embeddings for Text Categorization—0
BabelDomains: Large-Scale Domain Labeling of Lexical Resources—0
A Practical Perspective on Latent Structured Prediction for Coreference Resolution—0
Authorship Attribution Using Text DistortionCode0
High-Throughput and Language-Agnostic Entity Disambiguation and Linking on User Generated Data—0
Auto-clustering Output Layer: Automatic Learning of Latent Annotations in Neural Networks—0
Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization using Large-Scale Gazetteers—0
Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization—0
Neural Discourse Structure for Text CategorizationCode0
Theoretical Foundations of Forward Feature Selection Methods based on Mutual Information—0
Text Retrieval by Term Co-occurrences in a Query-based Vector Space—0
pke: an open source python-based keyphrase extraction toolkitCode0
DISCO: A System Leveraging Semantic Search in Document Review—0
UnibucKernel: An Approach for Arabic Dialect Identification Based on Multiple String Kernels—0
An Unsupervised Morphological Criterion for Discriminating Similar Languages—0
Learning Non-Linear Functions for Text Classification—0
A New Feature Selection Technique Combined with ELM Feature Space for Text Classification—0
Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence—0
Probabilistic Modeling of Progressive Filtering—0
Regularizing Text Categorization with Clusters of Words—0
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural NetworksCode0
Term-Class-Max-Support (TCMS): A Simple Text Document Categorization Approach Using Term-Class Relevance Measure—0
Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level—0
A Novel Term_Class Relevance Measure for Text Categorization—0
Automatic Classification by Topic Domain for Meta Data Generation, Web Corpus Evaluation, and Corpus Comparison—0
Text2voronoi: An Image-driven Approach to Differential Diagnosis—0
A Personalized Markov Clustering and Deep Learning Approach for Arabic Text Categorization—0
Transductive Adaptation of Black Box Predictions—0
Analysis of opinionated text for opinion mining—0
FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization—0
DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs—0
Using Linear Classifiers for the Automatic Triage of Posts in the 2016 CLPsych Shared Task—0
UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination—0
SODA:Service Oriented Domain Adaptation Architecture for Microblog Categorization—0
EEF: Exponentially Embedded Families with Class-Specific Features for Classification—0
Improving Bilingual Terminology Extraction from Comparable Corpora via Multiple Word-Space Models—0
Balancing Between Over-Weighting and Under-Weighting in Supervised Term Weighting—0
Interactive Tools and Tasks for the Hebrew Bible—0
Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings—0
Massively Multilingual Word EmbeddingsCode0
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