Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Library to scrape and clean web pages to create massive datasets.

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Data augmentation for NLP

Beautiful visualizations of how language differs among document types.

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

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)

An algorithm to augment syntactic hierarchy into word embeddings

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

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.

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Language, Knowledge, Cognition

Collection of useful data science topics along with code and articles