1413 Open source projects that are alternatives of or similar to text2class

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

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Text Classification in Turkish Texts with Bert

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

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

State of the Art Natural Language Processing

Pytorch-NLU，一个中文文本分类、序列标注工具包，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、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

Super simple text classifier using Naive Bayes. Plug-and-play, no dependencies

Label data using HuggingFace's transformers and automatically get a prediction service

A PyTorch-based toolkit for natural language processing

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

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

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.

Natural Language Processing Best Practices & Examples

[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

基于bert4keras的GLUE基准代码

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

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

[ACL-WS] 4th place solution to gendered pronoun resolution challenge on Kaggle

Text Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.

An NLP system for generating reading comprehension questions

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Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)

Text preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!

Object classification with CIFAR-10 using transfer learning

A sophisticated smart symptom search engine

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

simple rules engine

BERT Extension in TensorFlow

This repo contains a PyTorch implementation of a pretrained ERNIE model for text classification.

A Python interface for Facebook fastText

Augment IBM Watson Natural Language Understanding APIs with a configurable mechanism for text classification, uses Watson Studio.

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

A Framework for Textual Entailment based Zero Shot text classification

This repository contains demos I made with the Transformers library by HuggingFace.

All NLP you Need Here. 个人实现了一些好玩的NLP demo，目前包含13个NLP应用的pytorch实现

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

This repository contains code for the O'Reilly Live Online Training for BERT

Pipeline for fast building text classification TF-IDF + LogReg baselines.

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Abstractive and Extractive Text summarization using Transformers.

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

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

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

Weakly supervised medical named entity classification

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Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Pytorch Implementation of GoEmotions 😍😢😱

Deep Learning using Rectified Linear Units (ReLU)

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