Скачать с ютуб BERT Text Classification Kaggle NLP Disaster Tweets TensorFlow в хорошем качестве

BERT Text Classification Kaggle NLP Disaster Tweets TensorFlow

In this video I will be explaining my solution to Kaggle Natural Language Processing with Disaster Tweets (Getting Started Competition). I will be using BERT(Tensorflow) in the solution The main purpose of the competition is Twitter has become an important communication channel in times of emergency. The ubiquitousness of smartphones enables people to announce an emergency they’re observing in real-time. Because of this, more agencies are interested in programmatically monitoring Twitter (i.e. disaster relief organizations and news agencies). If you are new here and like such content please subscribe to the channel here: https://www.youtube.com/c/RitheshSree... If you like to support me financially, It is totally optional and voluntary. Buy me a coffee here: https://www.buymeacoffee.com/rithesh The code is present here: https://github.com/rsreetech/Disaster... Relevant Links: Kaggle competition link: https://www.kaggle.com/c/nlp-getting-... Kaggle Notebook Link: https://www.kaggle.com/ritheshsreeniv... BERT resources: http://jalammar.github.io/illustrated... https://jalammar.github.io/illustrate... http://jalammar.github.io/a-visual-gu... https://www.tensorflow.org/tutorials/... Chapters/Timestamps : 00:00 Kaggle Natural Language Processing with Disaster Tweets – Top 14% Solution with BERT (TensorFlow) #NLProc 00:28 Natural Language Processing with Disaster Tweets 01:38 Train,Test dataset description 02:39 Solution description 03:33 BERT discussion 08:27 Dataset exploration, pre-processing TensorFlow additional packages 11:40 TensorFlow additional packages 12:19 TensorFlow dataset creation 12:42 BERT model and pre-processing pipeline selection 14:15 Classification model creation and training followed by prediction