Search results for #TextClassification
🔥 Read our Highly Cited Paper 📚 Improving the Accuracy and Effectiveness of #TextClassification Based on the Integration of the #BertModel and a #RecurrentNeuralNetwork (RNN_Bert_Based) 🔗 mdpi.com/2076-3417/14/1… 👨🔬 Chanthol Eang and Seungjae Lee 🏫 @sunmoonpr
Experiments show PEFT, especially Prefix‑tuning and UniPELT, outperform FFT in low‑resource text tasks and remain strong in AL setups, boosted further by TAPT. - hackernoon.com/who-learns-fas… #textclassification #activelearning(al)
This paper studies active learning with parameter‑efficient fine‑tuning (adapters), showing AL+PEFT improves PLMs in low‑resource text classification. - hackernoon.com/teaching-big-m… #textclassification #activelearning(al)
🔥 Read our Highly Cited Paper 📚 Enhancing Imbalanced #Sentiment Analysis: A #GPT-3-Based Sentence-by-Sentence Generation Approach 🔗 mdpi.com/2076-3417/14/2… 👨🔬 by Mrs. Cici Suhaeni and Prof. Hwan-Seung Yong 🏫 Ewha Womans University #textclassification #textgeneration #LLM
🤖 Used Naive Bayes Classifier in two tasks: 🌦️ Gaussian NB → Predict if I can play based on weather 📧 Multinomial NB → Classify messages as spam or not spam #MachineLearning #NaiveBayes #SpamDetection #Python #Sklearn #TextClassification #MLProjects #DataScience
How do spam filters really work? Naive Bayes to the rescue! 👉 Read More: sunshinedigital.co.in/naive-bayes-sp… #NaiveBayes #SpamDetection #MachineLearning #AI #CyberSecurity #TextClassification #MLBasics #SupervisedLearning #DataScience #SunshineDigitalServices
📢 Welcome to read the most viewed papers in the last 12 months: Top 1️⃣: A Survey on the Use of Large Language Models (LLMs) in Fake News Views: 14736 🔗 mdpi.com/1999-5903/16/8… #fakenews #fakeprofiles #largelanguagemodels #LLMs #textclassification @ComSciMath_Mdpi
Providing an efficient #distilBERT-based #textclassification model for Apprentice Online Job Advertisements (AOJAs) and Regular #OJAs: “Ausklasser - a classifier for German apprenticeship advertisements“ by Kai Krüger. ACSIS Vol. 37 p.165–172; tinyurl.com/y7k8adwz
📢 Welcome to read the most cited papers in the Last 12 months: Top 5️⃣: A Survey on the Use of Large Language Models (LLMs) in Fake News Views: 14125 Citations: 12 🔗 mdpi.com/1999-5903/16/8… #fakenews #largelanguagemodels #LLMs #textclassification @ComSciMath_Mdpi
New #SpecialIssue "Advances in Data Mining for Complex Systems", edited by Prof. Dr. Lei Li, Dr. Natalia Vanetik and Dr. Shlomo Greenberg. Deadline is 31 May 2026. Submissions are welcome until deadline! mdpi.com/journal/inform… #textclassification @ComSciMath_Mdpi
🤖Exciting News 📚DynGraph-BERT: Combining #BERT and #GNN Using Dynamic Graphs for Inductive Semi-Supervised Text Classification 🔗by Perin et al #DynGraphBERT #TextClassification #AI #NLP #GraphNeuralNetworks #SemiSupervisedLearning #MachineLearning 💡mdpi.com/2227-9709/12/1…
#nlp #textclassification #lime #semantics #naturallanguageprocessing #linguistics Evaluating Clinical BERT for Multiclass Pathology Report Classification with Interpretability youtube.com/watch?v=GkDOgj…
Ever wondered how machines classify text as “fruit” or “not fruit”? 🍎🚗 Full post link - instagram.com/p/DJl-1vCyjIN/… #NaiveBayes #NLP #MachineLearning #DataScience #BayesTheorem #TextClassification #AIExplained #AdditiveSmoothing #Senseacademy #EdTechExplained
Our new paper published in IEEE Access: "Topic-Weighted Kernels: Text Kernels Integrating Topic Weights and Deep Word Embeddings for Semantic Text Analytics" Read more: doi.org/10.1109/ACCESS… #NLP #MachineLearning #TextClassification #TopicModeling #BERT #Word2Vec #IEEEAccess
🔔 New Published Papers of #MDPIfutureinternet Title: Classification of Hacker’s Posts Based on Zero-Shot, Few-Shot, and Fine-Tuned LLMs in Environments with Constrained Resources mdpi.com/1999-5903/17/5… #largelanguagemodel #cybersecurity #textclassification #fewshotlearning
Assessing #zeroshot #textclassification and its benefits: “An Evaluation of a Zero-Shot Approach to Aspect-Based #SentimentClassification in Historic German #StockMarket Reports“ by J. Borst, L. Wehrheim, A. Niekler, M. Burghardt. ACSIS Vol. 37 p.51–60; tinyurl.com/rrrtznez
🏷️ Classification Assign categories to documents: • Topics • Sentiment • Genre • Reading level Useful for clustering, filtering, or personalized results 💡 #TextClassification #ML
Unlocking the Power of Text Classification: Powerful Model Insights #TextClassification #AIModel #DataScience #MachineLearning #APIIntegration #Innovation #TechInsights #DataAnalysis #ArtificialIntelligence #Programming
📢#MDPIfutureinternet | Highly Cited Articles in #ArtificialIntelligence 📝 A Survey on the Use of Large Language Models (LLMs) in Fake News Citations: 7 mdpi.com/1999-5903/16/8… #fakenews #largelanguagemodels #LLMs #textclassification @ComSciMath_Mdpi
