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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Beiträge mit #TextClassification
#TextClassification
Öffentliche Beiträge auf X, die #TextClassification verwenden.
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🚀 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
The Python Code@ThePythonCode1Text Classification using TensorFlow & Keras in Python ! #python #TextClassification #DeepLearning #MachineLearning #TensorFlow #keras026
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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Abeed Sarker, PhD@sarkerabeedEvaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data #NLProc #textclassification #socialmedia #gpt4 #LLM0211882
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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
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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This paper studies active learning with parameter‑efficient fine‑tuning (adapters), showing AL+PEFT improves PLMs in low‑resource text classification. - #textclassification #activelearning(al)201520
“How to do #textclassification with #CNNs, #TensorFlow and #wordembedding” by @lak_gcp #GoogleCloudPlatform032
@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- 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
Igor Grossmann, PhD @igi.bsky.social@psywisdom🚀 Exciting news! After months of hard work, we're launching a game-changing AI-based text classification tool, developed with the amazing Jaxin Lu. Say goodbye to complex coding! #AI #TextClassification #TechInnovation1171.1K
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
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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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- 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
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BotBuilder@ByBotBuilderThis author is right - your chatbot needs a lot of training. We help by providing better context with #textclassification >> 3 Considerations When Training a Chatbot002- 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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