#textClassification

AI Daily Postaidailypost
2025-11-18

Want to turn raw reviews, tweets, and feedback into clear sentiment signals? Learn how to fine‑tune BERT with Hugging Face, master tokenization, and build a transformer‑based text classifier in minutes. The guide walks you through every step, from data prep to evaluation. Perfect for open‑source lovers and NLP hobbyists!

🔗 aidailypost.com/news/learn-cla

2025-08-25

PEFT with AL selects more valuable data, preserves stable early‑layer representations, reduces forgetting, and outperforms FFT in low‑resource settings. hackernoon.com/why-peft-beats- #textclassification

2025-08-25

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. hackernoon.com/who-learns-fast #textclassification

2025-08-25

This paper studies active learning with parameter‑efficient fine‑tuning (adapters), showing AL+PEFT improves PLMs in low‑resource text classification. hackernoon.com/teaching-big-mo #textclassification

Jesus Castagnetto 🇵🇪jmcastagnetto
2025-08-16

About the importance of just one word in biasing text classification

"A new way to test how well systems classify text"

news.mit.edu/2025/new-way-test

CoListycolisty
2025-01-16

Generative AI Using SAS: Explore Machine Learning Techniques | CoListy
Learn the basics of Generative AI with SAS, including SMOTE, GANs, and LLMs to generate synthetic data and improve AI accuracy.
.

colisty.netlify.app/courses/ge

2024-09-14

Just compared Claude-Sonnet-3.5 with OpenAI's o1 on a CLS task – classifying text inputs from US short stories with regard to focalization. Turns out, Sonnet doesn't recognize zero focalization and achieved an F1-score of 0.47, while o1 performed better with 0.69. Not bad - but problematic, as the hidden tokens of the optimizer (?) from o1 would be of particular interest.

#CLS #AI #ClaudeSonnet #OpenAI's_o1 #TextClassification #Focalization

2024-07-25

I've started making a text classification library in Go. It's VERY WIP, but I think that there could be some interesting results once I add things to it. (and maybe redesign the entirety of it if needed in the future)

Source code: codeberg.org/autodni/silt

Data Bloggerdatablogger
2024-03-14

Generative or Discriminative? How does Multinomial Naive Bayes work for text classification? 📚🐍🤔 towardsdatascience.com/multino

2023-04-16

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial #Python #TensorFlow #MachineLearning #NeuralNetwork #TextClassification
youtube.com/watch?v=VtRLrQ3Ev-

MT Group at FBKfbk_mt@sigmoid.social
2023-03-17

Our pick of the week by @apierg: Tokpo et al., 2023 "How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification"

arxiv.org/abs/2301.12855v1

#NLProc #Gender #GenderBias #Mitigation #TextClassification

2023-01-29

tldr; #data #augmentation in #NLProc degrades #textClassification performance in most cases. aclanthology.org/2022.insights

Well that was fun. Just spent last night experimenting with #dataAugmentation (using #flan-T5 for paraphrasing) and in wondering why it seems to degrade #textClassification performance I came across this great paper essentially saying the same thing. I guess I’ll revisit this in a year or so when there are better language models.
@linguistics @sigmoid.social

Fabian Hoppefab@mathstodon.xyz
2022-11-28

Hi everybody, #introduction
I'm a PhD student at #AIFB/KIT and part of the #FIZKarlsruhe @fizise research group.
On this account you will find mostly toots about my research in the areas of #TextClassification, #ZSL, #ZSTC and #KnowledgeGraph. I'm especially interested in everything connecting subsymbolic and symbolic #AI.
Aside from this I might toot about #running and #coffee.

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