UMK-NLP course by ida ab https://padlet.com/eida7117/nlp en-us 2022-12-17 10:52:04 UTC 2022-12-18 04:09:49 UTC hello@padlet.com eida7117 https://padlet.com/eida7117/nlp/wish/2423605602 2022-12-17 11:26:21 UTC https://padlet.com/eida7117/nlp/wish/2423605602 eida7117 https://padlet.com/eida7117/nlp/wish/2423606174 2022-12-17 11:28:59 UTC https://padlet.com/eida7117/nlp/wish/2423606174 eida7117 https://padlet.com/eida7117/nlp/wish/2423606591 https://www.kaggle.com/code/andreshg/nlp-glove-bert-tf-idf-lstm-explained/notebook]]> 2022-12-17 11:30:41 UTC https://padlet.com/eida7117/nlp/wish/2423606591 How to load data? What insight do you get from the EDA process? share your answer and working IPYNB file here .. eida7117 https://padlet.com/eida7117/nlp/wish/2423607608 2022-12-17 11:34:22 UTC https://padlet.com/eida7117/nlp/wish/2423607608 Data pre-processing is very important in text processing. How many NLP techniques have been applied in this tutorial? eida7117 https://padlet.com/eida7117/nlp/wish/2423607922 2022-12-17 11:35:26 UTC https://padlet.com/eida7117/nlp/wish/2423607922 Vectorization process is a part of NLP process. Why this process important? Share your answer and working IPNYB file here .. eida7117 https://padlet.com/eida7117/nlp/wish/2423608966 2022-12-17 11:39:31 UTC https://padlet.com/eida7117/nlp/wish/2423608966 Machine learning models for text classification are built based on two classifiers: (1) Naive Bayes and (2) XGBoost. Share your IPYNB file here .. eida7117 https://padlet.com/eida7117/nlp/wish/2423609652 2022-12-17 11:41:40 UTC https://padlet.com/eida7117/nlp/wish/2423609652 Consider GLOVE and BERT vectorization for LSTM deep learning text classification modelling (Ham/Spam). Share your working IPYNB file here .. eida7117 https://padlet.com/eida7117/nlp/wish/2423610516 2022-12-17 11:44:44 UTC https://padlet.com/eida7117/nlp/wish/2423610516 https://padlet.com/eida7117/nlp/wish/2423862597 2022-12-18 04:09:49 UTC https://padlet.com/eida7117/nlp/wish/2423862597