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;
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Information MDPI@InformationMDPI📝 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
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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
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Lara Kobilke@LKobilkeCfP: 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
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Abeed Sarker, PhD@sarkerabeedEvaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data #NLProc #textclassification #socialmedia #gpt4 #LLM0211882
The Python Code@ThePythonCode1Text Classification using TensorFlow & Keras in Python ! #python #TextClassification #DeepLearning #MachineLearning #TensorFlow #keras026
@naaclmeeting@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 #NLPAsaf Yehudai @AsafYehudai🎉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:036195- 🎉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:
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Dataiku@dataikuWant to become an #NLP master? Build a strong baseline by starting with text classification. | #naturallanguageprocessing #textclassification #ML #machinetranslation #datafromthetrenches037
Sign up for this #Data4Peace session on using #MachineLearning & #TextClassification techniques in conflict data! Kate Keator, @CarterCenter @anurive, @Microsoft, AI for Good Research Lab Rachel Goodman & @katayounkishi, @ACLEDINFO Matt King, @ex_trac 🔗
The Carter Center @CarterCenterTomorrow at 1:45 p.m. ET, @CarterCenter #ConflictResolution Program rep Kate Keator joins a panel on data & analysis at @nyuCIC's #Data4Peace workshop, where she’ll feature info on our work with Natural Language Processing in partnership with @Microsoft.066
The Carter Center@CarterCenterTomorrow at 1:45 p.m. ET, @CarterCenter #ConflictResolution Program rep Kate Keator joins a panel on data & analysis at @nyuCIC's #Data4Peace workshop, where she’ll feature info on our work with Natural Language Processing in partnership with @Microsoft.
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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 #nlp40287
🚀 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 #GLiClass119724.1K
BigDataCogn.Comput.@BDCC_MDPI👉New Research by Mr. Jasmir Jasmir et al.: “Fine-Grained Algorithm for Improving KNN Computational Performance on Clinical Trials Text Classification” @unsri @MDPIEngineering #textclassification #KNN #clinicaltrials Access for Free:
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Dr. Jochen L. Leidner (AI professor/advisor)@jochenleidnerOur paper Daniel Pfeifer and Jochen L. Leidner (2019), “A Brief Study on Topic Modeling for Feature Selection in Text Classification” got accepted FQAS 2019. #textclassification #topicmodeling #featureselection135- Dataiku@dataikuDiscover seven powerful #TextClassification techniques, how they perform on a product reviews dataset, and how they can be implemented in Dataiku: | | #AdvancedDataScience #NLP #MachineLearning101633
What are a few popular methods of data pre-processing for text classification? Nick Acosta of IBM discusses a few methods that he uses. #DataScience #TextClassification126
Machine Learning Week Europe@MLWeekEurope"Applied #DeepLearning for #TextClassification - Examples from the #HR Industry" - der Vortrag von Alexander Chukovski von @experteer auf der #pawcon / #ddb17 ist auf @SlideShare verfügbar:
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Azam Bukhari@AzamBukhari1Exciting news! 📢🚀 #NLP tasks like classification and labelling just got easier! 🤔💡💪 Discover how to build multiclass and multi-label text classification models using ChatGPT as a backbone with scikit-LLM library. 📚🔬🔗 #AI #MachineLearning #codanics
13182.6K- Azam Bukhari@AzamBukhari1@AzamBukhari1🔗💡 Simplify multi-label classification with Scikit-LLM! Just provide candidate labels. 📚✨ The classifier expects y as List[List[str]]. Structure/ordering of labels doesn't matter, wrap candidate labels in an additional outer list. 🎯💪 #NLP #ScikitLLM #ChatGPT
113161 - Azam Bukhari@AzamBukhari1@AzamBukhari1✅⚡️ Streamline text classification with Scikit-LLM! 📚🔍 Build ChatGPT-based models effortlessly using scikit-learn compatible estimators. No manual OpenAI API interaction needed! 🤝💪 #NLP #textclassification #ScikitLLM #ChatGPT #efficiency105194
Detecting spam and non-spam emails or understand audience sentiment from social media? The answer to perform such #NLP tasks is "Text Classification". Learn to implement #TextClassification models, in #Python.
078- Dataiku@dataikuWant to become an #NLP master? Build a strong baseline by starting with text classification. | #naturallanguageprocessing #textclassification #ML #machinetranslation #datafromthetrenches024
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