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;
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Here's a curated list of Top 6 #OpenSource Pretrained Models for #TextClassification you should use #nlp #ai #ml #dl #neuralnetworks
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ALAMEDA Project@alameda_project🚨NEW publication! #Sentimentanalysis experts develop algorithms to extract linguistic patterns: our colleagues from @AilabUnic have developed a new method for #textclassification and analysis and tested it in nine datasets. 📘Read the full text here:
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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 🔗
The Carter Center @CarterCenterTomorrow 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.066
The Carter Center@CarterCenterTomorrow 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.
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