Natural Language Processing in Julia

In this hands on workshop, we will explore the use of natural language processing tools in Julia, with a particular focus on statistical machine learning based approaches. The content will be based primarily around the TextAnalysis.jl and Flux.jl packages. We will learn some of the primary algorithms in this area, and implement practical examples using these packages. The course will be aimed at someone who has a basic understanding of the Julia programming language, but no prior experience of natural language processing

• Data Collection
  • Using existing corpora
  • Web scraping to collect your own data
  • Data storage and representation
• Pre-processing
  • Stemming
  • Stopwords
• Word representations
  • Bag of words, TF-IDF
  • Text Rank algorithm for summarisation
• Word Embeddings
• Deep neural networks for machine learning
  • Language Detection
  • Parsing
  • Text generation

Speaker's bio

Avik has spent many years helping investment banks leverage technology in risk and capital markets. He’s worked on bringing AI powered solutions to investment research, and is currently the VP of Engineering at Julia Computing.

Resources