893 Open source projects that are alternatives of or similar to Awesome Text Classification

This 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

🗣️ Tool to generate adversarial text examples and test machine learning models against them

Fake News Detection in Python

RMDL: Random Multimodel Deep Learning for Classification

Resources for learning about Text Mining and Natural Language Processing

🍊 📄 Text Mining add-on for Orange3

【微信公众号：大邓和他的python】, Python语法快速入门https://www.bilibili.com/video/av44384851 Python网络爬虫快速入门https://www.bilibili.com/video/av72010301, 我的联系邮箱[email protected]

Repo for Applied Text Mining in Python (coursera) by University of Michigan

BERT, LDA, and TFIDF based keyword extraction in Python

Easy, fast clustering of texts

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Code and Resources for "Applied Machine Learning"

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Korpuslinguistik war noch nie so einfach...

Weaving analytical stories from text data

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

An easy-to-use library to extract indices from texts.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

Text vectorization tool to outperform TFIDF for classification tasks

Relation Classification - SEMEVAL 2010 task 8 dataset

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

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Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, search user interface & search apps for fulltext search, faceted search & knowledge graph)

Repository with all what is necessary for sentiment analysis and related areas

Text Classification by Convolutional Neural Network in Keras

An 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.

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

Text Mining in Python

The 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.

NLP with NLTK for Sentiment analysis amazon Products Reviews

Text classification meets word embeddings.

HDLTex: Hierarchical Deep Learning for Text Classification

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

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Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Lectures in Urban Data Science Lab, Seoul

A Modern C++ Data Sciences Toolkit

Data augmentation for NLP, presented at EMNLP 2019

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Natural language detection library for Rust. Try demo online: https://www.greyblake.com/whatlang/

CNN-RNN中文文本分类，基于TensorFlow

Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.

Starter 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.

all kinds of text classification models and more with deep learning

Language, Knowledge, Cognition

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This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)

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All kinds of neural text classifiers implemented by Keras

R wrapper for fastText

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The repository provides usefull python scripts for ML and data analysis

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Embedding, NMT, Text_Classification, Text_Generation, NER etc.