359 Open source projects that are alternatives of or similar to Textclassification Keras

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

A Python interface for Facebook fastText

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

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.

Implementation of State-of-the-art Text Classification Models in Pytorch

Nodejs binding for fasttext representation and classification.

Library for fast text representation and extreme classification.

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

all kinds of text classification models and more with deep learning

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

A Benchmark of Text Classification in PyTorch

FastText for Node.js

all kinds of baseline models for long text classificaiton( text categorization)

R wrapper for fastText

All kinds of neural text classifiers implemented by Keras

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

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

嵌入Word2vec词向量的CNN中文文本分类

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

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

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

Tensorflow implementations of Text Classification Models.

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/

Object Detection API Tensorflow

BERT for Multitask Learning

Detecting cyberbullying in tweets using Machine Learning

pytorch实现bert做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持GPT2进行文章续写。

Fast word vectors with little memory usage in Python

A Model for Natural Language Attack on Text Classification and Inference

高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

Mask RCNN in TensorFlow

About Muti-Label Text Classification Based on Neural Network.

a Deep Learning Framework for Text

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

Compute Sentence Embeddings Fast!

2018-DC-“达观杯”文本智能处理挑战赛：冠军 (1st/3131)

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

Convolutional Neural Network for Text Classification in Keras

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

💫 Industrial-strength Natural Language Processing (NLP) in Python

RMDL: Random Multimodel Deep Learning for Classification

[CIKM 2018] Weakly-Supervised Neural Text Classification

👑 spaCy building blocks and visualizers for Streamlit apps

Code for paper "Hierarchical Text Classification with Reinforced Label Assignment" EMNLP 2019

Kaggle Twitter Sentiment Analysis Competition

Tensorflow based training and classification scripts for text, images, etc

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Machine Learning (EE 5184) in NTU

OpenTC is a text classification engine using several algorithms in machine learning

Resources for learning about Text Mining and Natural Language Processing

BERT, LDA, and TFIDF based keyword extraction in Python

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

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

Unofficial Implementation of "Bag of Tricks for Efficient Text Classification", 2016, Armand Joulin et al. (https://arxiv.org/pdf/1607.01759.pdf)