Twitter Sentiment Analysis Tutorial in Python w/ GloVe Word Embedding Vectors & LSTM Neural Networks

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Twitter Sentiment Analysis Tutorial in Python w/ GloVe Word Embedding Vectors & LSTM Neural Networks

Рет қаралды 16,314

Күн бұрын

In this video we implement a Twitter sentiment analysis model using GloVe Word Embeddings & Natural Language Processing in Python. We'll create an LSTM neural network to get the job done, in just 20 minutes!
Link to the Colab notebook: colab.research...
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Пікірлер: 33

@GregHogg Жыл бұрын

Take my courses at mlnow.ai/!

@MLA263 Жыл бұрын

Really helpful and I appreciate the fact that it's straight to the facts. Thank you so much !

@GregHogg Жыл бұрын

You're very welcome!

@saisarath623 Жыл бұрын

Really helpful video. Thank you very much for making this amazing video @Greg Hogg !!

@GregHogg Жыл бұрын

Sorry for the late reply - you're very welcome :)

@qandos-nour Жыл бұрын

Very great explanation, thank you very much

@GregHogg Жыл бұрын

I'm super glad to hear that, you're very welcome 😁😁

@mikekertser5384 2 жыл бұрын

Great Video! Thanks! :)

@GregHogg 2 жыл бұрын

Thank you, you're very welcome Mike!

@fahriardsh 3 ай бұрын

hi, do you have any suggestions on how to tune up the performance of this model?

@rafaelaferreirarodrigues512 Жыл бұрын

Massa!

@raulpetcu9202 2 жыл бұрын

Thank you, my friend

@GregHogg 2 жыл бұрын

You're very welcome my friend

@user-jr9eu7gm9n 10 ай бұрын

Hi Greg! Thank you for taking this video! I am new in this field and I learn a lot from this video since it is really great. But I still have questions about it. What if I wonder do bidirectional lstm? How could I modify the model? I find that we could define 'bidirectional=True' by using pytorch but I have no idea when using tensorflow.keras. It would be highly appreciated!!

@arsheyajain7055 2 жыл бұрын

Awesome 🤩

@GregHogg 2 жыл бұрын

Thank you! 😍

@shwetadsa8877 4 ай бұрын

Great video, enjoyed learning! For padding the input sequences after plotting the histogram and getting max_length, could we do - from keras.preprocessing.sequence import pad_sequences X_train_pad = pad_sequences(X_train_seq, maxlen=max_length) X_test_pad = pad_sequences(X_test_seq, maxlen=max_length)

@vulet_2538 Жыл бұрын

hello, thank you so much but in this line : X_train, y_train = df_to_X_y(train_df) i got the erorr: ValueError: invalid literal for int() with base 10: 'Label' why?!

@raviankitaava 2 жыл бұрын

But first, it would be great if you can have a tutorial on how to extract twitter datasets from their site itself and save them into .csv format.

@GregHogg 2 жыл бұрын

There's lots of other tutorials for that :)

@raviankitaava 2 жыл бұрын

@@GregHogg but not able to explain clearly like you. Hence, would be great if you can provide tutorial where you can explain how to get data from Twitter and create query as well

@GregHogg 2 жыл бұрын

@@raviankitaava while I really really appreciate the sentiment, I'm advising you I probably won't be making this tutorial anytime soon.

@TechMimicryZone 2 жыл бұрын

@@GregHogg i found you on facebook group where you posted it. i am happy you did great job but , I have a suggestion and that is you should present some other tutorials too like what he is asking please do that. it will help us and we will be with you to support you.

@GregHogg 2 жыл бұрын

@@TechMimicryZone great thank you!

@raulpetcu9202 2 жыл бұрын

Hey Greg, could you possibly give me some tips on how to improve the accuracy of this model that you wrote, please? It would be highly appreciated.

@GregHogg 2 жыл бұрын

Definitely a more state of the art language model would help tremendously