893 Open source projects that are alternatives of or similar to Text-Classification-LSTMs-PyTorch

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Awesome Pytorch Tutorials

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Text Mining in Python

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

🗣️ Tool to generate adversarial text examples and test machine learning models against them

Repo for Applied Text Mining in Python (coursera) by University of Michigan

Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

A repository to bind mecab for Python 3.5+. Not using swig nor pybind. (Not Maintained Now)

Weaving analytical stories from text data

Open Korean Text Processor - An Open-source Korean Text Processor

Text vectorization tool to outperform TFIDF for classification tasks

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

Text Classification Algorithms: A Survey

Easy, fast clustering of texts

Korpuslinguistik war noch nie so einfach...

Deduce: de-identification method for Dutch medical text

An easy-to-use library to extract indices from texts.

A Python Bot for Scraping Conversations from Twitter

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Resources for learning about Text Mining and Natural Language Processing

PipeIt is a text transformation, conversion, cleansing and extraction tool.

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

RMDL: Random Multimodel Deep Learning for Classification

短文本聚类预处理模块 Short text cluster

CogComp's light-weight Python NLP annotators

A Python package that do stemming, tokenization, sentence breaking, segmentation, normalization, POS tagging for Arabic language.

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

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

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

A web app to create and browse text visualizations for automated customer listening.

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

Kadot, the unsupervised natural language processing library.

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

parsing fixed width files content made easy

Segmentation based event detection from Tweets. Published at NAACL SRW 2019

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

BERT, LDA, and TFIDF based keyword extraction in Python

Fast, Consistent Tokenization of Natural Language Text

HDLTex: Hierarchical Deep Learning for Text Classification

Fake News Detection in Python

【微信公众号：大邓和他的python】, Python语法快速入门https://www.bilibili.com/video/av44384851 Python网络爬虫快速入门https://www.bilibili.com/video/av72010301, 我的联系邮箱[email protected]

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

TEANAPS 라이브러리를 활용한 자연어 처리와 텍스트 분석 방법론에 대해 다룹니다.

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

Text Classification by Convolutional Neural Network in Keras

R package for Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing Based on the UDPipe Natural Language Processing Toolkit

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

Awesome-Text-Classification Projects,Papers,Tutorial .

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

🔬 Очистка датасетов от мусора (нормализация, препроцессинг)

Extract indicators of compromise from text, including "escaped" ones.

NLP tutorial

A keyphrase extractor for Persian

Text Normalization & Inverse Text Normalization