Latest posts tagged with #TextClassification on Bluesky
Presenting @insee.fr's torchtextclassifier at PyData Global !
A toolkit package for text classification with PyTorch.
Tuesday 12:30 (UTC) - join the session!
#PyDataGlobal #NLP #MachineLearning #PyTorch #TextClassification
github.com/inseefrlab/t...
cfp.pydata.org/pydataglobal...
Codebook Conceptualization Still Key for LLM Text Classification
Skipping a codebook when prompting LLMs can cause systematic conceptualization errors; authors advise a concise codebook and small‑scale human validation. getnews.me/codebook-conceptualizati... #llm #textclassification
Text Classification and Validation for a construction tech company
Want to see it in action?
shorturl.at/7fL9X
#TextClassification #ConstructionIndustry #DataAutomation #CaseStudy #DataAnnotation #Database #Accuracy
PEFT with AL selects more valuable data, preserves stable early‑layer representations, reduces forgetting, and outperforms FFT in low‑resource settings. #textclassification
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. #textclassification
This paper studies active learning with parameter‑efficient fine‑tuning (adapters), showing AL+PEFT improves PLMs in low‑resource text classification. #textclassification
About the importance of just one word in biasing text classification
"A new way to test how well #AI systems classify text"
#LLM #TextClassification
news.mit.edu/2025/new-way...
'Boosting Transformers: Recognizing Textual Entailment for Classification of Vaccine News Coverage' - a #ComputationalCommunication Research article from @amsterdamupress.bsky.social on #ScienceOpen:
➡️ www.scienceopen.com/document?vid...
🖇️ #NLP #Transformers #TextClassification #TextualEntailment
Flick: Few Labels Text Classification using K-Aware Intermediate
Learning in Multi-Task Low-Resource Languages
Abdullah Alsuhaibani, Ali Almutairi et al.
Paper
Details
#KAwareLearning #MultitaskLowResource #TextClassification
AI Researchers Put DeepSeek to the Test 🧠📊🚀 www.azoai.com/news/2025020... #DeepSeek #AI #MachineLearning #LLMs #TextClassification #AIResearch #Claude #NLP #Tech #FutureAI
New Swedish corpus with 2.3 billion words now in Sketch Engine.
🇸🇪 Hej! The Swedish Web 2020 corpus with over 160 thousand sentences is now available! The texts have been carefully cleaned and classified by genres (blogs, news, …) and topics (arts, health, …). 👉 www.sketchengine.eu/svtenten-swe...
#corpuslinguistics #digitalhumanities #textclassification
The key to mastering #textclassification lies in understanding the power of #RNNs. These neural networks process and remember data, allowing for deeper insights and predictions.
RNNs offer a unique approach to managing large text datasets.
Want to dive deeper? 👉 https://buff.ly/3T5HFmK
SDC explored Gen-AI for text classification: social media abortion posts (GSMA) into Pro-Choice & Pro-Life; AP-NORC open responses into 5 political topics.
✅ GPT-4 outperforms AutoML.
✅ Near 100% accuracy on AP-NORC.
✅ Near 20% improvement on GSMA.
#GenAI #MachineLearning #TextClassification
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! futurescape.uwaterloo.ca/ai-coder/ #AI #TextClassification #TechInnovation
#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 https://t.co/i6
