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support-tickets-classificationThis case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
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text2classMulti-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT
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Whatlang RsNatural language detection library for Rust. Try demo online: https://www.greyblake.com/whatlang/
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Nlp In PracticeStarter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
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bayesnaive bayes in php
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opentcOpenTC is a text classification engine using several algorithms in machine learning
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TextCategorization⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.
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