#Textclassification

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

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;

This paper studies active learning with parameter‑efficient fine‑tuning (adapters), showing AL+PEFT improves PLMs in low‑resource text classification. - #textclassification #activelearning(al)

📝 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

🚀 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

Discover seven powerful #TextClassification techniques, how they perform on a product reviews dataset, and how they can be implemented in Dataiku: | | #AdvancedDataScience #NLP #MachineLearning

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

🔥Lowkey Goated When #TextClassification is The Vibe🔥 Check out Han Cheol Moon et al.'s new paper on Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications, incl. @JotyShafiq:

Curious about Naive Bayes classifiers and how they can be used for text classification, spam filtering, and more? Here is the explanation on what they are and how they work! #NBClassifiers #TextClassification #MachineLearning

Want to become an #NLP master? Build a strong baseline by starting with text classification. | #naturallanguageprocessing #textclassification #ML #machinetranslation #datafromthetrenches

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 #TextClassification

Our 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 #featureselection

“#Textclassification using TensorFlow.js: An example of detecting offensive language in browser” by #TensorFlow. #ml #DeepLearning

¡Descubre cómo "Google" ha clasificado tu sitio en su tema o "topics"! Con Google Chrome Activa las dependencias en chrome://flags/ 🕵️‍♀️ Navega a chrome://topics-internals/ Y finalmente, añade tus NDD en la pestaña de Clasificación. Gracias por el truco, @anddeIl! 🙌 #SEM

El clasificador de texto se apoya en BERT para determinar las etiquetas 🏷️. ¿Quieres profundizar? Echa un vistazo a este archivo que Damien nos sugiere: 📚 #BERT #TextClassification

📢 @JonRusert, advised by Padmini Srinivasan, will defend his #Doctoral Thesis Tue 11/1 - 10am CT: "The Dark Side of #TextClassification: Addressing the Negative Aspects Plaguing #TextClassifiers"👉One may 📧 him for remote #FinalExam deets [ #PhDlife

👉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:

"14 Open Datasets for Text Classification in Machine Learning" by @Hengtee_AI #machinelearning #textclassification

We are happy to announce that a new issue of @jucsnews is published! This issue discusses #TopicModeling #TextClassification #HyperHeuristicAlgorithms #RecommenderSystems #SocialMedia and more. Read more at @Pensoft @tugraz @tugraz_csbme

TensorFlow 2.0 is a MAJOR update and we're thrilled to bring this comprehensive article for you! Ankit explains how #TensorFlow 2.0 differs from TF 1.0 and shows how to implement #imageclassification and #textclassification in TensorFlow 2.0!

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 🔗

Tomorrow 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.