351 Open source projects that are alternatives of or similar to bns-short-text-similarity

TextCNN Pytorch实现 中文文本分类 情感分析

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Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

BDCI2017-让AI当法官，决赛第四（4/415）https://www.datafountain.cn/competitions/277/details

Indonesian twitter dataset for emotion classification task

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

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Kadot, the unsupervised natural language processing library.

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

R wrapper for fastText

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines

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Your Advanced Twitter stalking tool

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

CNN for intent classification task in a Chatbot

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TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

Easy, fast clustering of texts

A list of NLP(Natural Language Processing) tutorials

基于Transformers的文本分类

text-classifier is a toolkit for text classification. It was developed to facilitate the designing, comparing, and sharing of text classification models.

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

Bert-classification and bert-dssm implementation with keras.

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

Extracts key terminology (n-grams) from any large collection of documents (>1000) and forecasts emergence

Train and deploy a News Classifier using language model (ULMFit) - Serverless container

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

Arabic support for textblob

BAND：BERT Application aNd Deployment，Simple and efficient BERT model training and deployment, 简单高效的 BERT 模型训练和部署

Web Service for E-Discovery Analytics

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

A Python interface for Facebook fastText

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

Text classification with Sparse Composite Document Vectors.

UDA(Unsupervised Data Augmentation) implemented by pytorch

Meta learning with BERT as a learner

中文ULMFiT 情感分析 文本分类

Hierarchy-Aware Global Model for Hierarchical Text Classification

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

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

export bert model for serving

🔮Deep Learning for text made easy with AllenNLP

TextCNN by TensorFlow 2.0.0 ( tf.keras mainly ).

A bidirectional LSTM with attention for multiclass/multilabel text classification.

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.

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

Hierarchical Attention Networks for document classification

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.

Educational material on using the TensorFlow Estimator framework for text classification

Chinese Question Classifier (Keras Implementation) on BQuLD

Graph Convolutional Networks for Text Classification. AAAI 2019

Fake News Detection in Python