294 Open source projects that are alternatives of or similar to monkeylearn-java

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

NLP in Python with Deep Learning

👄 The most accurate natural language detection library for Go, suitable for long and short text alike

Python module for Named Entity Recognition (NER) using natural language processing.

Research paper classification using machine learning and NLP

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

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

Curated list of all NLP Resources

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

Weakly supervised medical named entity classification

Movie review dataset Word2Vec & sentiment classification Zeppelin notebook

A comprehensive tool for linguistic analysis of communities

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…

பைந்தமிழ் (pytamil) library is intended to be used in analysis of tamil literary work. A wealth of knowledge is hidden in old literature. They are time machines to past. Ever wondered what is the popular color or food in tamil speaking world in 500AD. The answer is hidden in literature. With right computer tools it becomes possible for us to dig…

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

C90 to MIPS I Compiler done as a coursework for EE2-15

[Tutorial] Demystifying Natural Language Processing with Python

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

A PyTorch-based toolkit for natural language processing

Система, анализирующая тональность текстов и высказываний.

German extension for write-good

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

Vietnamese Text Classification

Relation Classification - SEMEVAL 2010 task 8 dataset

2018“云移杯- 景区口碑评价分值预测

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

A Feed Aggregator that Knows What You Want to Read.

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

Natural Language Processing for Lithuanian language

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

Official implementation of "Explicit Interaction Model towards Text Classification"

Active Learning for Text Classification in Python

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

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)

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

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Library for fast text representation and extreme classification.

Aprendizado, dicas e projetos sobre Python

Ten Thousand German News Articles Dataset for Topic Classification

Personalized Medicine: Redefining Cancer Treatment with deep learning

Python for Text Classification with Machine Learning in Python 3.6.

Deep Learning Bootcamp

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

A deep text classifiers library.

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

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

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

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

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

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

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

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

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

Text classification meets word embeddings.

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

Building a text classifier with extremely small datasets

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

Caver: a toolkit for multilabel text classification.

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