Awesome Text ClassificationAwesome-Text-Classification Projects,Papers,Tutorial .
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kwxBERT, LDA, and TFIDF based keyword extraction in Python
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Fake news detectionFake News Detection in Python
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Artificial Adversary🗣️ Tool to generate adversarial text examples and test machine learning models against them
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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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Text mining resourcesResources for learning about Text Mining and Natural Language Processing
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R Text DataList of textual data sources to be used for text mining in R
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QdapQuantitative Discourse Analysis Package: Bridging the gap between qualitative data and quantitative analysis
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HdltexHDLTex: Hierarchical Deep Learning for Text Classification
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ShallowlearnAn experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
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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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Pyss3A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI
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Cnn Text Classification KerasText Classification by Convolutional Neural Network in Keras
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Orange3 Text🍊 📄 Text Mining add-on for Orange3
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Applied Text Mining In PythonRepo for Applied Text Mining in Python (coursera) by University of Michigan
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Text MiningText Mining in Python
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Text-Classification-LSTMs-PyTorchThe aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.
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text-analysisWeaving analytical stories from text data
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corpusexplorer2.0Korpuslinguistik war noch nie so einfach...
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nlpbuddyA text analysis application for performing common NLP tasks through a web dashboard interface and an API
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