286 Open source projects that are alternatives of or similar to Python Stop Words

📚 Text classification library with Keras

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

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

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

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

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

bert on Jigsaw Unintended Bias in Toxicity Classification

[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

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

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

中国法研杯-司法人工智能挑战赛

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

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

DELTA is a deep learning based natural language and speech processing platform.

All kinds of neural text classifiers implemented by Keras

ATEC 金融大脑-金融智能NLP服务

Text classifier for Hierarchical Attention Networks for Document Classification

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类

🔮Deep Learning for text made easy with AllenNLP

Character-level Convolutional Networks for Text Classification论文仿真实现

Chinese Question Classifier (Keras Implementation) on BQuLD

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

all kinds of text classification models and more with deep learning

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Arabic support for textblob

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

CNN for intent classification task in a Chatbot

Web Service for E-Discovery Analytics

Kadot, the unsupervised natural language processing library.

A Python interface for Facebook fastText

Text Classification Algorithms: A Survey

Text classification with Sparse Composite Document Vectors.

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

Meta learning with BERT as a learner

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

Hierarchy-Aware Global Model for Hierarchical Text Classification

R wrapper for fastText

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

A list of NLP(Natural Language Processing) tutorials

TextCNN by TensorFlow 2.0.0 ( tf.keras mainly ).

ConText v4: Neural networks for text categorization

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.

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

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

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

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

Bert-classification and bert-dssm implementation with keras.

Graph Convolutional Networks for Text Classification. AAAI 2019

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

Predict the author's gender from their text.

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

Your Advanced Twitter stalking tool

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

A collection of Natural language processing pre-trained models.

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

Word Embedding + LSTM + FC

📓 Long(er) text representation and classification using Doc2Vec embeddings

sentiment analysis、文本分类、ALBERT、TextCNN、classification、tensorflow、BERT、CNN、text classification