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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
SentiHeros at SemEval-2017 Task 5: An application of Sentiment Analysis on Financial Tweets—0
SenTube: A Corpus for Sentiment Analysis on YouTube Social Media—0
Sequence-to-Set Semantic Tagging: End-to-End Multi-label Prediction using Neural Attention for Complex Query Reformulation and Automated Text Categorization—0
Sequence-to-Set Semantic Tagging for Complex Query Reformulation and Automated Text Categorization in Biomedical IR using Self-Attention—0
Sequential Learning of Convolutional Features for Effective Text Classification—0
Shortest-Path Graph Kernels for Document Similarity—0
SMM4H Shared Task 2020 - A Hybrid Pipeline for Identifying Prescription Drug Abuse from Twitter: Machine Learning, Deep Learning, and Post-Processing—0
Authorship Attribution Using Text DistortionCode0
Authorship Attribution Using the Chaos Game RepresentationCode0
Learning Graph Pooling and Hybrid Convolutional Operations for Text RepresentationsCode0
Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive StudyCode0
Rep the Set: Neural Networks for Learning Set RepresentationsCode0
A Model Ensemble Approach with LLM for Chinese Text ClassificationCode0
HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text CategorizationCode0
Learning to Few-Shot Learn Across Diverse Natural Language Classification TasksCode0
Revisiting neural relation classification in clinical notes with external informationCode0
Neural Discourse Structure for Text CategorizationCode0
Very Large Language Model as a Unified Methodology of Text MiningCode0
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical ApplicationsCode0
Improving Arabic Text Categorization Using Transformer Training DiversificationCode0
Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scalesCode0
Discriminating between Similar Languages using Weighted Subword FeaturesCode0
A Sequential Algorithm for Training Text ClassifiersCode0
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment AnalysisCode0
Document Informed Neural Autoregressive Topic ModelsCode0
Beyond original Research Articles Categorization via NLPCode0
Structure-Aware Convolutional Neural NetworksCode0
Improving Pre-Trained Weights Through Meta-Heuristics Fine-TuningCode0
Massively Multilingual Word EmbeddingsCode0
pke: an open source python-based keyphrase extraction toolkitCode0
Text Ranking and Classification using Data CompressionCode0
Ensemble Quantile ClassifierCode0
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data SetCode0
Inverse-Category-Frequency based supervised term weighting scheme for text categorizationCode0
PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AICode0
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural NetworksCode0
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based ApproachCode0
SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text ClassificationCode0
t-SS3: a text classifier with dynamic n-grams for early risk detection over text streamsCode0
SeVeN: Augmenting Word Embeddings with Unsupervised Relation VectorsCode0
Text Categorization by Learning Predominant Sense of Words as Auxiliary TaskCode0
An Automated Text Categorization Framework based on Hyperparameter OptimizationCode0
Convex Formulation of Multiple Instance Learning from Positive and Unlabeled BagsCode0
Topic or Style? Exploring the Most Useful Features for Authorship AttributionCode0
Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text ClassificationCode0
Leap-LSTM: Enhancing Long Short-Term Memory for Text CategorizationCode0
Multilingual Multi-class Sentiment Classification Using Convolutional Neural NetworksCode0
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