Getting started with OpenAI GPT-2

GPT-2 was released by OpenAI last year: Better Language Models and Their Implications, and the related code was released on Github: Code for the paper “Language Models are Unsupervised Multitask Learners” . First install OpenAI GPT-2 from github, my pc … Continue reading →

Deep Learning Practice for NLP: Large Movie Review Data Sentiment Analysis from Scratch

Deep Learning with Python is a very good book recently I have read: Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher … Continue reading →

Dive into NLP with Deep Learning, Part I: Getting Started with DL4NLP

Before diving into the Natural Language Processing with Deep Learning, you should know something about them. Here is a list of related books and courses for you: 1. Deep Learning Specialization by Andrew Ng We especially recommended this specialization for … Continue reading →

Deep Learning for NLP resources from Github

Two list of “Deep Learning for NLP resources” from github, just for reference: Deep Learning for NLP resources: Introductory and state of the art resources for NLP sequence modeling tasks like dialog. from https://github.com/andrewt3000/DL4NLP Deep-Learning-for-NLP-Resources: List of resources to get … Continue reading →

Getting Started with Text Processing or Natural Language Processing

Text Processing is the one of the most common tasks in the world, this article will focus on the natural language text processing in the computer, which commonly referred to as NLP. According to the wikipedia, Text processing is defined … Continue reading →

Deep Learning for Text Mining from Scratch

Here is a list of courses or materials for you to learn deep learning for text mining from scratch。 Especially recommended Deep Learning Specialization by Andrew Ng About This Specialization If you want to break into AI, this Specialization will … Continue reading →

Getting Started with Sentiment Analysis and Opinion Mining

According wikipedia, Sentiment Analysis is defined like this: Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. Generally speaking, sentiment … Continue reading →

Dive Into NLTK, Part II: Sentence Tokenize and Word Tokenize

This is the second article in the series “Dive Into NLTK“, here is an index of all the articles in the series that have been published to date: Part I: Getting Started with NLTK Part II: Sentence Tokenize and Word … Continue reading →

Dive Into NLTK, Part I: Getting Started with NLTK

NLTK is the most famous Python Natural Language Processing Toolkit, here I will give a detail tutorial about NLTK. This is the first article in a series where I will write everything about NLTK with Python, especially about text mining … Continue reading →