text-classifier

Natural language detection library for Rust. Try demo online: https://whatlang.org/

Simple embedding based text classifier inspired by fastText, implemented in tensorflow

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

pytextclassifier is a toolkit for text classification. 文本分类，LR，Xgboost，TextCNN，FastText，BiLSTM_Attention，BERT等模型实现，开箱即用。

Your Advanced Twitter stalking tool

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

Machine learning based text classification in JavaScript using n-grams and cosine similarity

OCR using tesseract, ImageMagick, EmguCV, an advanced query language and a fluent query interface for C#

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

PyTorch repository for text categorization and NER experiments in Turkish and English.

A small, no dependencies, Naive Bayes Text Classifier for JavaScript

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

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

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Custom Text Classifier

Deep-Attention Text Classifier in Tensorflow

Language Detection Library

Text Classifier for Twitter data

Analysis and Visualizations for COVID-19 Bing search engine queries + Classifier pipeline for predicting country based on search query.

Implementation of sentence classification in Python using NaiveBayes, KNN and SVM classifiers in Python

基于sklearn的文本分类器 Text classifier based on sklearn

Simplified and somewhat optimized version of the phonetic-languages-examples. Is intended to use more functionality of lists and subG package.

Text classification of posts & contents created by followers of two celebrity in Twitter (code+data+slides)

Understand how supervised and unsupervised machine learning methods can be used to construct and implement a text classifier in Python.

Easy-to-use Go implementation of the multinomial Naive Bayes classifier for multilabel text classification.

Basic text classification using algorithms such as Naive-Bayes

A retrieval system backed by text classifier

Simple implementation of text classifier in Java with built in SVM, C4.5, kNN, and naive Bayesian classifiers. Support for common text preprocessors and for CVS format. You can plugin your own classifier, tokenizer, transformer, stopwords, synonyms, and TF-IDF formula etc. Supports automatic validation and confusion matrix.