FastText Embedding for Rare (OOV) Words | Explained with Example | FastText Vs GloVe Vs Word2Vec
About this lesson
๐ Notes: https://robosathi.com/docs/natural_language_processing/text-embedding/#fast_text ๐ฅ NLP Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxcDlHCeNiKbRhLWKVunQaxn ๐ฅ Deep Learning Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxe749nPGDV2cd6SR6zIZIJl ๐ฅ Machine Learning Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxeydAqz2lsSMFYinbrJy9mu ๐ฅ Full Maths Course: https://www.youtube.com/playlist?list=PLnpa6KP2ZQxen-R6NytSMigAri7piPhFp ๐ฅ Word2Vec: https://youtu.be/zBpili1p2Io ๐ฅ GloVe: https://youtu.be/Te9qLvHpBRk โ This video describes in detail the FastText embedding technique invented by Facebook in 2016, that was designed to handle rare words or out of vocabulary words, which are very common on social networks. ๐ Time Stamp ๐ 00:00:00 - 00:01:53 Introduction 00:01:54 - 00:05:55 What is Distributed Text Representation ? 00:05:56 - 00:09:27 What is FastText ? 00:09:28 - 00:14:47 FastText Cost Function Explained 00:14:48 - 00:16:17 FastText Example 00:16:18 - 00:19:34 FastText Vs GloVe Vs Word2Vec Comparison & Use Cases 00:19:35 - 00:20:22 Next: RNN
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