473 Open source projects that are alternatives of or similar to Text Pairs Relation Classification

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Language Modeling and Text Classification in Malayalam Language using ULMFiT

嵌入Word2vec词向量的CNN中文文本分类

FastText for Node.js

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.

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

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

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

Sarcasm Detection for Sentiment Analysis

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

基于Pytorch和torchtext的自然语言处理深度学习框架。

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.

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类

Using pre trained word embeddings (Fasttext, Word2Vec)

基于Transformers的文本分类

Go library for performing computations in word2vec binary models

UDA(Unsupervised Data Augmentation) implemented by pytorch

Pre-trained word vectors of 30+ languages

Topic Modelling for Humans

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

对收集的法律文档进行一系列分析，包括根据规范自动切分、案件相似度计算、案件聚类、法律条文推荐等（试验目前基于婚姻类案件，可扩展至其它领域）。

Web-ify your word2vec: framework to serve distributional semantic models online

export bert model for serving

sourced.ml is a library and command line tools to build and apply machine learning models on top of Universal Abstract Syntax Trees

Remove problematic gender bias from word embeddings.

Text vectorization tool to outperform TFIDF for classification tasks

A complete pytorch implementation of skip-gram

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

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

Awesome-Text-Classification Projects,Papers,Tutorial .

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

State of the Art Natural Language Processing

A web app to create and browse text visualizations for automated customer listening.

Implementation of Very Deep Convolutional Neural Network for Text Classification

Official Python client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Python apps.

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.

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

text2vec, chinese text to vetor.(文本向量化表示工具，包括词向量化、句子向量化、句子相似度计算)

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

Log Anomaly Detection - Machine learning to detect abnormal events logs

对 ansj 编写的 Word2VEC_java 的进一步包装，同时实现了常用的词语相似度和句子相似度计算。

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

Pre-trained Word2Vec Model for Turkish

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

Use pytorch to implement word2vec

Notebooks for the Seattle PyData 2017 talk on Scattertext

A text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification, part of speech tagging, named entity recognition, chinese word segment, extracting address, synonym, text clustering, word2vec model, edit distance, chinese word segment, sentence similarity,word sentiment tendency, name recognition, idiom recognition, placename recognition, organization recognition, traditional chinese recognition, pinyin transform.

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

Educational material on using the TensorFlow Estimator framework for text classification

transform multi-label classification as sentence pair task, with more training data and information

使用BERT模型做文本分类；面向工业用途

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

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。

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

搜索所有中文NLP数据集，附常用英文NLP数据集

"20 Newsgroups" text classification with python