#Text-classification
Showing 60 of 106 repositories tagged #text-classification, ranked by stars
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
💫 Industrial-strength Natural Language Processing (NLP) in Python
all kinds of text classification models and more with deep learning
Natural Language Processing Best Practices & Examples
State of the Art Natural Language Processing
Snips Python library to extract meaning from text
Accelerated deep learning R&D
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
The Python Code Tutorials
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.
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
Text Classification Algorithms: A Survey
DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥
🦙 Integrating LLMs into structured NLP pipelines
Graph Convolutional Networks for Text Classification. AAAI 2019
An elegent pytorch implement of transformers
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
A tool for learning vector representations of words and entities from Wikipedia
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
👑 spaCy building blocks and visualizers for Streamlit apps
Collection of papers and resources for data augmentation for NLP.
基于Pytorch和torchtext的自然语言处理深度学习框架。
NucliaDB, The AI Search database for RAG
Active Learning for Text Classification in Python
BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework. @月来客栈
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
Resources for learning about Text Mining and Natural Language Processing
A flexible, adaptive classification system for dynamic text classification
About Muti-Label Text Classification Based on Neural Network.
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
pytextclassifier is a toolkit for text classification. 文本分类，LR，Xgboost，TextCNN，FastText，TextRNN，BERT等分类模型实现，开箱即用。
Text Classification Library in Keras
Hierarchical Attention Networks for document classification
🗣️ Tool to generate adversarial text examples and test machine learning models against them
中文文本分类、序列标注工具包（pytorch），支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Chinese text classification and sequence labeling toolkit, supports multi class and multi label classification, text similsrity, text summary and NER.
A Python library for Interpretable Machine Learning in Text Classification using the SS3 model, with easy-to-use visualization tools for Explainable AI :octocat:
:speedboat: Label data at scale. Fun and precision included.
The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》
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。
Labelling platform for text using weak supervision.
Text Classification through CNN, RNN & HAN using Keras
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.
Interpret text data with LLMs (sklearn compatible).
This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
A professional TF-IDF + Logistic Regression style-risk classifier for educational fake-news detection, with a Streamlit dashboard, honest evaluation, uncertainty handling, and leakage analysis.
A web app to create and browse text visualizations for automated customer listening.
This is the corresponding code for the book Transformers in Action
Code for the CUP Elements on text analysis in Python for social scientists
Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neural machine translation.
ConText v4: Neural networks for text categorization
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
R wrapper for fastText