323 Open source projects that are alternatives of or similar to TextCategorization

A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019

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

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

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）

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

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

Official repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

A Framework for Textual Entailment based Zero Shot text classification

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

NLP with NLTK for Sentiment analysis amazon Products Reviews

Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

Pipeline for fast building text classification TF-IDF + LogReg baselines.

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

Sarcasm Detection for Sentiment Analysis

Code and resources on scalable and efficient Graph Neural Networks

Augment IBM Watson Natural Language Understanding APIs with a configurable mechanism for text classification, uses Watson Studio.

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

NLP Classification Workshop

Language Modeling and Text Classification in Malayalam Language using ULMFiT

NLP tutorial

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020

Source code for the EMNLP 2020 paper "Cold-Start and Interpretability: Turning Regular Expressions intoTrainable Recurrent Neural Networks"

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

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

An index of recommendation algorithms that are based on Graph Neural Networks.

Implementation of ULMFit algorithm for text classification via transfer learning

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

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)

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

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

CNN for Chinese Text Classification in Tensorflow

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

Graph-based framework for text classification

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

Tutorials for Machine Learning on Graphs

codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

Implementation of papers for text classification task on SST-1/SST-2

Text classification meets word embeddings.

汽车行业用户观点主题及情感识别

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

小时候练手的nlp项目

Indonesian twitter dataset for emotion classification task

Keras implementation of Character-level CNN for Text Classification

Easy, fast clustering of texts

[AAAI 2019] Weakly-Supervised Hierarchical Text Classification

all kinds of baseline models for long text classificaiton( text categorization)

Very deep CNN for text classification

Hierarchical Attention Networks for document classification

Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)

TextCNN Pytorch实现 中文文本分类 情感分析

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

A list of data mining and machine learning papers that I implemented in 2019.

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

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

Semisupervided LDA for theory-driven text analysis