Facebook’s Artificial Intelligence Research lab releases open source fastText on GitHub

Every day, billions of pieces of content are shared on Facebook. To keep up with the data, Facebook has been using a variety of tools to classify text. Traditional methods of classification, like deep neural networks, are accurate but have serious training requirements.In an effort to classify both accurately and easily, Facebook’s Artificial Intelligence Research (FAIR) lab developed fastText. Today, fastText is going open source so developers can implement its libraries anywhere. FastText supports both text classification and learning word vector representations through techniques like bag of words and subword information. Based on the skip-gram model, words are represented as bag of character n-grams with vectors representing each character n-gram. “In order to be efficient on datasets with very large number of categories, fastText uses a hierarchical classifier, in which the different categories are organized in…


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