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News Classification

Papers

Showing 150 of 72 papers

TitleStatusHype
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing ModelCode2
Tri-Learn Graph Fusion Network for Attributed Graph ClusteringCode1
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and KirundiCode1
N24News: A New Dataset for Multimodal News ClassificationCode1
IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesCode1
Cross-lingual Evidence Improves Monolingual Fake News DetectionCode1
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over TimeCode1
AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection DatasetCode1
Evaluating Various Tokenizers for Arabic Text ClassificationCode1
MasakhaNEWS: News Topic Classification for African languagesCode1
Multiverse: Multilingual Evidence for Fake News DetectionCode1
Automated Fake News Detection using cross-checking with reliable sources0
BaIT: Barometer for Information Trustworthiness0
CANAL -- Cyber Activity News Alerting Language Model: Empirical Approach vs. Expensive LLM0
Climate-Eval: A Comprehensive Benchmark for NLP Tasks Related to Climate Change0
Computing with Subjectivity Lexicons0
Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models0
Dick-Preston and Morbo at SemEval-2019 Task 4: Transfer Learning for Hyperpartisan News Detection0
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text0
Word Embedding Algorithms as Generalized Low Rank Models and their Canonical Form0
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit0
Analysis of Resource-efficient Predictive Models for Natural Language Processing0
Analyzing ELMo and DistilBERT on Socio-political News Classification0
Analyzing the Generalizability of Deep Contextualized Language Representations For Text Classification0
An Empirical Assessment of the Qualitative Aspects of Misinformation in Health News0
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP0
An Empirical Survey of Data Augmentation \ Limited Data Learning in NLP0
An Exploration of Unreliable News Classification in Brazil and The U.S0
Applying LLMs to Active Learning: Towards Cost-Efficient Cross-Task Text Classification without Manually Labeled Data0
A Self-Learning Multimodal Approach for Fake News Detection0
EthioMT: Parallel Corpus for Low-resource Ethiopian Languages0
Fact vs. Opinion: the Role of Argumentation Features in News Classification0
In-memory hyperdimensional computing0
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing0
Large-Scale News Classification using BERT Language Model: Spark NLP Approach0
Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims0
Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification0
LinguAlchemy: Fusing Typological and Geographical Elements for Unseen Language Generalization0
Machine and Deep Learning Methods with Manual and Automatic Labelling for News Classification in Bangla Language0
MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News Detection0
On Limitations of LLM as Annotator for Low Resource Languages0
On the Usefulness of Personality Traits in Opinion-oriented Tasks0
Potrika: Raw and Balanced Newspaper Datasets in the Bangla Language with Eight Topics and Five Attributes0
Rethinking News Text Classification from a Timeliness Perspective under the Pre-training and Fine-tuning Paradigm0
Synthetic News Generation for Fake News Classification0
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning0
The effect of stemming and lemmatization on Portuguese fake news text classification0
The Role of User Profile for Fake News Detection0
The use of Data Augmentation as a technique for improving neural network accuracy in detecting fake news about COVID-190
Transliteration: A Simple Technique For Improving Multilingual Language Modeling0
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