#TextClassification

Mapping job-postings to a taxonomy of industrial sectors without finetuning: “No Train, No Pain? Assessing the Ability of #LLMs for #TextClassification with no Finetuning” by R. Fechner, J. Dörpinghaus. ACSIS Vol. 40 p. 9–16;

Parlez-vous français? The French Web 2023 corpus with 23.8 billion words now available! The texts were carefully cleaned and classified into genres (blog, news, …) and topics (arts, health, …). #corpuslinguistics #digitalhumanities #TextClassification

🚀 Introducing GLiClass‑V3 – a leap forward in zero-shot classification! Matches or beats cross-encoder accuracy, while being up to 50× faster. Real-time inference is now possible on edge hardware. #TextClassification #NLP #ZeroShot #GLiClass

📝 Read #HighlyCitedArticle "Text Classification: How Machine Learning Is Revolutionizing Text Categorization" by Hesham Allam, et al. See more details at: #TextClassification #MachineLearning #NLP #DataScience #AI @ComSciMath_Mdpi

CfP: PhDstud & interested in #TextClassification? Then apply for our workshop with @ankekat1000 in Zurich (15/16 Oct 20): Organization: @th_ges, @ivobantel, @DnVglr, @astaender, @LKobilke, @hase_va, & Nico Pfiffner. Funding: @UZH_dsi & GradSchool @UZH_ch

Automated #TextClassification Using #MachineLearning @ParallelDots

Text Classification using TensorFlow & Keras in Python ! #python #TextClassification #DeepLearning #MachineLearning #TensorFlow #keras

@naaclmeeting attendees in Mexico City 🇲🇽! Curious about Few-Shot Text Classification? 📊 Check out our @IBMResearch paper: FastFit: Fast & Effective Text Classification with Many Classes 🚀 📅Wed 11 AM 📄 🐦 #TextClassification #NLP

🎉Excited to share our paper When LLMs are Unfit, Use FastFit: Fast and Effective Text Classification with Many Classes was accepted to @naaclmeeting! 🚀SOTA results ⚡Fast training & inference 🎯High accuracy 📄Paper: 💻Package:

🎉 New! Flash v0.4! -Built-in integration with @Voxel51 -Multi-label #textclassification -New backbones and heads for semantic segmentation -Flash serve — a new simple interface to serve your flash models to production! 👉@ethanwharris's post for details!

Here's a curated list of Top 6 #OpenSource Pretrained Models for #TextClassification you should use #nlp #ai #ml #dl #neuralnetworks

#EACL2023 is just around the corner, where we will be showcasing our system demonstration paper "Small-Text: Learning for Text Classification in Python". The corresponding poster presentation is scheduled for Session 6 on May 3rd, 9:00–10:30 AM. #NLProc #TextClassification 1/2

Here's a curated list of Top 6 #OpenSource Pretrained Models for #TextClassification you should use! #nlp #ai #ml #dl #neuralnetworks

Check our few-shot learning approach for text classification that outperforms SetFit in 8 examples per label case on the challenging dataset. #fewshotlearning #textclassification #setfit #nlp

Text Classification is one of the widely used natural language processing task in different business problems. This guide explains a step by step process to implement #textclassification it in python. #naivebayes #regression

Do you often get stuck while fine tuning #BERT for text classification. We got it covered for you. Check out this amazing article by Prateek Joshi where he efficiently explains how to fine-tune BERT for #textclassification here: #DataScience

🚨NEW publication! #Sentimentanalysis experts develop algorithms to extract linguistic patterns: our colleagues from @AilabUnic have developed a new method for #textclassification and analysis and tested it in nine datasets. 📘Read the full text here:

Hoy disfrutamos con la defensa de la tesis de Pepe @JosAntonioGarca #LinguisticFeatures #NLProc #TextClassification

🔔New Research by Mr. Hiromu Nakajima and Dr. Minoru Sasaki : "Text Classification Based on the Heterogeneous Graph Considering the Relationships between Documents" @ComSciMath_Mdpi #textclassification #CNN #semisupervisedlearning Access for Free:

Text Classification is one of the widely used natural language processing task in different business problems. This guide explains a step by step process to implement #textclassification it in python. #textdataset #featureengineering #NaiveBayes,

Let's talk about advanced #NLP. Shall we? Here's the perfect guide for you! Transfer Learning for NLP: Fine-Tuning #BERT for #TextClassification