#TextClassification
#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...
November 8, 2024 at 7:22 PM
🇸🇪 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
December 16, 2024 at 11:20 AM
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
August 29, 2024 at 3:15 PM
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
AI Coder
Web site created using create-react-app
futurescape.uwaterloo.ca
December 18, 2023 at 9:05 AM
PEFT with AL selects more valuable data, preserves stable early‑layer representations, reduces forgetting, and outperforms FFT in low‑resource settings. #textclassification
Why PEFT Beats FFT in Active Learning: Forgetting Dynamics and Stable Representations
hackernoon.com
August 25, 2025 at 9:22 PM
A few days left to apply for our workshop with @ankekat1000 on #TextClassification in #Python (Zurich, Oct 15-16) https://t.co/lmO38MPg50
Feel free to get in touch if you have any questions. https://t.co/7KrosvoG97
August 27, 2020 at 12:43 PM
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
June 23, 2025 at 9:02 AM
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
August 21, 2024 at 4:42 PM
Skipping a codebook when prompting LLMs can cause systematic conceptualization errors; authors advise a concise codebook and small‑scale human validation. https://getnews.me/codebook-conceptualization-still-key-for-llm-text-classification/ #llm #textclassification
October 7, 2025 at 4:34 PM
This paper studies active learning with parameter‑efficient fine‑tuning (adapters), showing AL+PEFT improves PLMs in low‑resource text classification. #textclassification
Teaching Big Models With Less Data: How Adapters + Active Learning Win
hackernoon.com
August 25, 2025 at 9:13 PM
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
Who Learns Faster With Less Data? Adapters Beat Full Fine‑Tuning
hackernoon.com
August 25, 2025 at 9:17 PM