fastText

Understanding the meaning of words that roll off your tongue as you talk, or your fingertips as you tap out posts is one of the biggest technical challenges facing artificial intelligence researchers. But it is an essential need. Automatic text processing forms a key part of the day-to-day interaction with your computer; it's a critical component of everything from web search and content ranking to spam filtering, and when it works well, it's completely invisible to you. With the growing amount of online data, there is a need for more flexible tools to better understand the content of very large datasets, in order to provide more accurate classification results. To address this need, the Facebook AI Research (FAIR) lab is open-sourcing fastText, a library designed to help build scalable solutions for text representation and classification. Our ongoing commitment to collaboration and sharing with the community extends beyond just delivering code.