Intro to Text Mining Using tm, openNLP and topicmodels – Ted Kwartler ODSC Boston 2015
Intro to Text Mining Using tm, openNLP and topicmodels from odsc You will learn how modern customer service organizations use data to understand important customer attributes and how R is used for workforce optimization. Topics include real world examples of how R is used in large scale operations to... Read more
Recurrent Neural Networks for Text Analysis – Alec Radford ODSC Boston 2015
Recurrent Neural Networks for Text Analysis from odsc Recurrent Neural Networks hold great promise as general sequence learning algorithms. As such, they are a very promising tool for text analysis. However, outside of very specific use cases such as handwriting recognition and recently, machine translation, they have not seen... Read more
Vector Space Word Representations – Rani Nelken ODSC Boston 2015
Vector Space Word Representations – Rani Nelken PhD from freshdatabos NLP has traditionally mapped words to discrete elements without underlying structure. Recent research replaces these models with vector-based representations, efficiently learned using neural networks. The resulting embeddings not only improve performance on a variety of tasks, but also show... Read more