348 Open source projects that are alternatives of or similar to Caver

Library for fast text representation and extreme classification.

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

Text classification using deep learning models in Pytorch

Curated list of all NLP Resources

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Active Learning for Text Classification in Python

Research paper classification using machine learning and NLP

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

Weakly supervised medical named entity classification

HBAM: Hierarchical Bi-directional Word Attention Model

Official implementation of "Explicit Interaction Model towards Text Classification"

Kaggle 2018 @ Human Protein Atlas Image Classification

[Tutorial] Demystifying Natural Language Processing with Python

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

A paper list of awesome Image Tagging

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

Система, анализирующая тональность текстов и высказываний.

Vietnamese Text Classification

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

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

Extremely simple and fast extreme multi-class and multi-label classifiers.

A comprehensive tool for linguistic analysis of communities

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

Relation Classification - SEMEVAL 2010 task 8 dataset

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

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

Ten Thousand German News Articles Dataset for Topic Classification

An original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)

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

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

Naive Bayes Classification used to classify movie reviews as positive or negative

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

Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.

Movie review dataset Word2Vec & sentiment classification Zeppelin notebook

Personalized Medicine: Redefining Cancer Treatment with deep learning

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

Deep Learning Bootcamp

Pytorch Implementation of GoEmotions 😍😢😱

A deep text classifiers library.

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…

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

A pyTorch implementation of models used for Recognizing Textual Entailment using the SNLI corpus

2018“云移杯- 景区口碑评价分值预测

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

Natural language understanding library for chatbots with intent recognition and entity extraction.

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

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

attention mechanism in keras, like Dense and RNN...

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

A Feed Aggregator that Knows What You Want to Read.

Text classification meets word embeddings.

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

Natural Language Processing for Lithuanian language

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

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

A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis, PyTorch implementation.

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