[unable to retrieve full-text content]Check out this collection of NLP resources for beginners, starting from zero and slowly progressing to the point that readers should have an idea of where to go next.
Original Post: Natural Language Processing Nuggets: Getting Started with NLP
[unable to retrieve full-text content]Want to generate text with little trouble, and without building and tuning a neural network yourself? Let’s check out a project which allows you to “easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.”
Original Post: Generating Text with RNNs in 4 Lines of Code
[unable to retrieve full-text content]In this post I will try to explain, in a very simplified way, how to apply neural networks and integrate word embeddings in text-based applications, and some of the main implicit benefits of using neural networks and word embeddings in NLP.
Original Post: On the contribution of neural networks and word embeddings in Natural Language Processing
[unable to retrieve full-text content]This article examines several Natural Language Processing (NLP) courses across a variety of online sources and programming languages.
Original Post: NLP in Online Courses: an Overview
[unable to retrieve full-text content]Also: AI is learning to see in the dark; Introducing state of the art text classification with universal language models; Top 100 Books for Data Scientists.
Original Post: Top KDnuggets tweets, May 16-22: Python eats away at R; Data Science Plan 2018
[unable to retrieve full-text content]Can logic be used to make chatbots intelligent? In the 1960s this was taken for granted. Now we have all but forgotten the logical approach. Is it time for a revival?
Original Post: If chatbots are to succeed, they need this
[unable to retrieve full-text content]spaCy is a Python natural language processing library specifically designed with the goal of being a useful library for implementing production-ready systems. It is particularly fast and intuitive, making it a top contender for NLP tasks.
Original Post: Getting Started with spaCy for Natural Language Processing
[unable to retrieve full-text content]Overall, FastText is a framework for learning word representations and also performing robust, fast and accurate text classification. The framework is open-sourced by Facebook on GitHub.
Original Post: Implementing Deep Learning Methods and Feature Engineering for Text Data: FastText
[unable to retrieve full-text content]In this blog, you’ll get to know the basics of Elasticsearch, its advantages, how to install it and indexing the documents using Elasticsearch.
Original Post: Elasticsearch for Dummies
[unable to retrieve full-text content]OpenMinTED invites researchers, service providers and SMEs to submit proposals related to the development and integration of existing text mining/NLP applications or software components. Apply by Jan 26, 2018.
Original Post: OpenMinTED Open Tender Phase II Funding opportunity for text and data mining developers