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Multi-class sentiment analysis lstm, finetuned bert

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could you help me for a bit ? this is what i did to run the prediction. import pandas as pd import numpy as np import tensorflow as tf import...

Hello, Firstly thank you for your great work, I wanted to ask if you are using fasttext with the model ?, it says word2vec but "embeddings/wiki-news-300d-1M.vec" is from the fasttext...

# In the preprocessing block in bert.ipynb , the following error is shown: ## (I have also tried in google colab but it gives the same error) ![bert](https://user-images.githubusercontent.com/51515489/99715084-691aef80-2acc-11eb-9297-16253825a867.PNG) TypeError Traceback...

Merge data into 1 unified file

I think the code is just utilizing the BERT architecture and building a new text classification model rather than fine-tuning it using the concept of transfer learning.