#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)

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

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.

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

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

📝 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

This guide would explore FastText - a #NLP library by #Facebook, used to calculate Word Representations & perform #TextClassification swiftly. #machinelearning

Let's talk about advanced NLP. Shall we? Here's the perfect guide for you! Transfer Learning for NLP: Fine-Tuning BERT for Text Classification #BERT #NLP #TextClassification

In this article, we focus on training a supervised learning text classification model in Python. #DataScience #TextClassification

Facebook developed their own library #FastText, for Word Representations and Text Classification. Check out this article by Neeraj Singh, and learn to calculate Word Representations and perform #TextClassification, all in a matter of seconds!

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

Build, Deploy #MachineLearning in fraction of the time #RecommendationEngine #TextClassification @PredictionIO

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

Do you want to learn how to perform text classification using Pytorch? Here's an article by Aravind Pai where he walks through the key points for solving a #textclassification problem using #Pytorch which is used for its high computational speed!

Here's a curated list of Top 6 #OpenSource Pretrained Models for #TextClassification you should use #nlp #ai #ml #dl #neuralnetworks

How will you detect spam and non-spam emails or understand audience sentiment from social media? Explore getting your machine ready for the NLP task and implementing #TextClassification models, in #Python.

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

🔥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:

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