286 Open source projects that are alternatives of or similar to Python-for-Text-Classification

Research paper classification using machine learning and NLP

A comprehensive tool for linguistic analysis of communities

2018“云移杯- 景区口碑评价分值预测

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NLP Classification Workshop

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

Weakly supervised medical named entity classification

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

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

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…

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

Sarcasm Detection for Sentiment Analysis

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

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

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

Система, анализирующая тональность текстов и высказываний.

Movie review dataset Word2Vec & sentiment classification Zeppelin notebook

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

Caver: a toolkit for multilabel text classification.

Relation Classification - SEMEVAL 2010 task 8 dataset

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

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

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

Comparable documents miner: Arabic-English morphological analysis, text processing, n-gram features extraction, POS tagging, dictionary translation, documents alignment, corpus information, text classification, tf-idf computation, text similarity computation, html documents cleaning

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

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

小时候练手的nlp项目

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

[Tutorial] Demystifying Natural Language Processing with Python

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

Curated list of all NLP Resources

Ten Thousand German News Articles Dataset for Topic Classification

Personalized Medicine: Redefining Cancer Treatment with deep learning

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.

Deep Learning Bootcamp

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

A deep text classifiers library.

Vietnamese Text Classification

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

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

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

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

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

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

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

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

Text classification meets word embeddings.

A Feed Aggregator that Knows What You Want to Read.

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

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

[AAAI 2019] Weakly-Supervised Hierarchical Text Classification

Natural Language Processing for Lithuanian language

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

Active Learning for Text Classification in Python

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"

A PyTorch-based toolkit for natural language processing

Library for fast text representation and extreme classification.

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

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