Introducing DeepText: Facebook’s text understanding engine

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Introduced DeepText, a deep learning-based text understanding engine utilizing convolutional and recurrent neural networks, word/character-level learning, and word embeddings. It achieves near-human accuracy in understanding textual content across multiple languages, reducing reliance on language-specific preprocessing. DeepText is trained using FbLearner Flow and Torch, and deployed via the FBLearner Predictor platform for scalable model distribution. It has been applied to intent detection in Messenger and for identifying content related to selling items, with future applications including sentiment analysis, entity extraction, and joint understanding of textual and visual content.