Explore tweets tagged as #textClassification
is Gzip all you need?! - writing our own gzip+kNN classifier for sentiment analysis in response to the “Low-Resource” TextClassification: A Parameter-Free Classification Method with Compressors paper. Video: Github:
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Parlez-vous français? The French Web 2023 corpus with 23.8 billion words now available! The texts were carefully cleaned and classified into genres (blog, news, …) and topics (arts, health, …). #corpuslinguistics #digitalhumanities #TextClassification
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🔥 Read our Highly Cited Paper.📚 Enhancing Imbalanced #Sentiment Analysis: A #GPT-3-Based Sentence-by-Sentence Generation Approach.🔗 👨🔬 by Mrs. Cici Suhaeni and Prof. Hwan-Seung Yong.🏫 Ewha Womans University.#textclassification #textgeneration #LLM
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Key Characteristics of the BERT Language Model! 🤖. #BERTModel #NLP #MachineLearning #AI #NaturalLanguageProcessing #DeepLearning #DataScience #TextClassification #Analytics #PyTorch #DataAnalytics #BuymoreAnalytix
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Streamline and organize your textual data efficiently with Teksun's Text Categorization service. Discover the power of Text Categorization and unlock the potential of your data today!. #NLPAlgorithms #TextClassification.#DataOrganization #TeksunTechnologies
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As a Christmas gift to the ML community,🎄 we're releasing Comprehend-it on Hugging Face: a multi-label 0-shot classification model excelling over BART & DeBERTa. Explore now! #MLCommunity #TextClassification #HuggingFace
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🚀 Introducing GLiClass‑V3 – a leap forward in zero-shot classification!. Matches or beats cross-encoder accuracy, while being up to 50× faster. Real-time inference is now possible on edge hardware. #TextClassification #NLP #ZeroShot #GLiClass.
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How to solve a #textclassification and named entity recognition tasks with #SuperAnnotate and #HuggingFace. Check out the details on our #GitHub tutorials: . #integrations #trainingdata #superdata #dataannotation
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Providing an efficient #distilBERT-based #textclassification model for Apprentice Online Job Advertisements (AOJAs) and Regular #OJAs: “Ausklasser - a classifier for German apprenticeship advertisements“ by Kai Krüger. ACSIS Vol. 37 p.165–172;
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🚀 Ever wondered why RNNs are the go-to for text classification? You might be missing out on a game-changer! 🤔. The key to mastering #textclassification lies in understanding the power of #RNNs. These neural networks don’t just process data—they remember it, allowing for deeper
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Using Text Classification with Machine Learning can automatically structure relevant text in a faster and more cost-effective way. 👉 . #textClassification #MachineLearning
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New on the blog: "S2vNTM: Semi-supervised vMF Neural Topic Modeling." Learn how this groundbreaking technique overcomes the limitations of traditional language models for text classification. Check out the paper here: #textclassification #datascience.
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I'm happy to share that our paper "Sentiment Analysis in Finance: From Transformers Back to eXplainable Lexicons (XLex)" has just been published in the @IEEEAccess journal. Paper: #SentimentAnalysis #ML #NLP #TextClassification #Finance #Lexicons
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In this talk on text classification models, @joelgrus discusses various methods, from the classic Naive Bayes and logistic regression to more complex models like RNNs and the BERT model. Each has its strengths and complexity, but which one is the simplest? #TextClassification
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