Twitter Sentiment Analysis Tutorial in Python w/ GloVe Word Embedding Vectors & LSTM Neural Networks
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- Опубликовано: 17 фев 2022
- 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.google.com/dri...
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Really helpful and I appreciate the fact that it's straight to the facts. Thank you so much !
You're very welcome!
Really helpful video. Thank you very much for making this amazing video @Greg Hogg !!
Sorry for the late reply - you're very welcome :)
Great Video! Thanks! :)
Thank you, you're very welcome Mike!
Very great explanation, thank you very much
I'm super glad to hear that, you're very welcome 😁😁
Thank you, my friend
You're very welcome my friend
Awesome 🤩
Thank you! 😍
Massa!
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?!
hi, do you have any suggestions on how to tune up the performance of this model?
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!!
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.
Definitely a more state of the art language model would help tremendously
noice
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.
There's lots of other tutorials for that :)
@@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
@@raviankitaava while I really really appreciate the sentiment, I'm advising you I probably won't be making this tutorial anytime soon.
@@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.
@@TechMimicryZone great thank you!
Hi, Can you make tutorial on unknown people recognition using Siamese network and facenet and track their location on multiple cameras?
Uhh pretty complicated... Maybe in the future? Not anytime soon unfortunately
This does not work. I'm testing this with some basic new inputs, and it fails a lot
Darn they must have changed something
vq4lle
ruclips.net/p/PLUgaESJcoS1AbePnjzQ1nJbnC9sJl4YtC
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)
thank you so much sir ..love from india @Greg hogg