300 Open source projects that are alternatives of or similar to Binary-Text-Classification-Doc2vec-SVM

OpenTC is a text classification engine using several algorithms in machine learning

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

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…

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

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

2018“云移杯- 景区口碑评价分值预测

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

Official implementation of "Explicit Interaction Model towards Text Classification"

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

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

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Система, анализирующая тональность текстов и высказываний.

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

Library for fast text representation and extreme classification.

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

Building a text classifier with extremely small datasets

Face Detection using HOG and SVM

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

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

DeepClassifier is aimed at building general text classification model library.It's easy and user-friendly to build any text classification task.

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

Research paper classification using machine learning and NLP

A PyTorch-based toolkit for natural language processing

Weakly supervised medical named entity classification

Ten Thousand German News Articles Dataset for Topic Classification

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

Movie review dataset Word2Vec & sentiment classification Zeppelin notebook

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

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

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

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

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

A Feed Aggregator that Knows What You Want to Read.

A ready to go text classification trainer based on synaptic (https://github.com/cazala/synaptic)

Natural Language Processing for Lithuanian language

Vietnamese Text Classification

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

Python for Text Classification with Machine Learning in Python 3.6.

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

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

Support Vector Machine in Javascript

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

[Tutorial] Demystifying Natural Language Processing with Python

Active Learning for Text Classification in Python

Curated list of all NLP Resources

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

Personalized Medicine: Redefining Cancer Treatment with deep learning

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

Deep Learning Bootcamp

Text Classification in Turkish Texts with Bert

A deep text classifiers library.

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

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

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.

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

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

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

Summary of my projects on kaggle