483 Open source projects that are alternatives of or similar to textgo

A PyTorch-based toolkit for natural language processing

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.

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

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

Text Similarity Applied to resume, to compare Resumes with Job Descriptions and create a score to rank them. Similar to an ATS.

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

Text preprocessing, representation and visualization from zero to hero.

State of the Art Natural Language Processing

搜索所有中文NLP数据集，附常用英文NLP数据集

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

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

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

中文文本分析工具包（包括- 文本分类 - 文本聚类 - 文本相似性 - 关键词抽取 - 关键短语抽取 - 情感分析 - 文本纠错 - 文本摘要 - 主题关键词-同义词、近义词-事件三元组抽取）

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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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…

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

BERT, LDA, and TFIDF based keyword extraction in Python

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

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

Text Classification in Turkish Texts with Bert

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

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.

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

📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.

Weakly supervised medical named entity classification

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

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

Augmented version of SQUAD 2.0 for Questions

Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

Minimally Supervised Categorization of Text with Metadata (SIGIR'20)

Pytorch Implementation of GoEmotions 😍😢😱

2018“云移杯- 景区口碑评价分值预测

BERT for Chinese Couplet | BERT用于自动对对联

Library of state-of-the-art models (PyTorch) for NLP tasks

BERT Model Fine-tuning on Quora Questions Pairs

This is a java version of Chinese tokenization descried in BERT.

Contextualised Embeddings and Language Modelling using BERT and Friends using R

The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.

Active Learning for Text Classification in Python

A Feed Aggregator that Knows What You Want to Read.

Natural Language Processing for Lithuanian language

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

Implementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.

An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.

REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

Medical Q&A with Deep Language Models

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

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

Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)

Code for ANA at SemEval-2019 Task 3

KAREN: Unifying Hatespeech Detection and Benchmarking

Deep Learning Transformer models in MATLAB

2020 阿里云天池大数据竞赛-中医药文献问题生成挑战赛

参考NER，基于BERT的电商评论观点挖掘和情感分析

Persian Bert For Long-Range Sequences

Official implementation of "Explicit Interaction Model towards Text Classification"

✔️Contextual word checker for better suggestions

Vietnamese Text Classification