Long Short-Term Memory for NLP (NLP Zero to Hero - Part 5)

How to implement of "CNN+BiLSTM" Of NLP project.

Nice Tutorial.Sir

I really enjoyed the fluency of the presentation and how you make it sound easy to understand. I have a question for you. how can i use word embeddings of a text column in my data along with a set of numerical and categorical features to fit a bidirectional lstm? I have a text column in my data and the rest of features are mixture of numerical and categorical

This channel is more like getting familiar with terminology than anything else...I am here after I've watched it, finished the coursera related course (TF specialization), and came back again to here...It helps as an icebreaker to the topic. Something Laurence is gifted at!

Thank you!

When you stack multiple LSTM layers, shouldn't one make sure the activation functions are non-linear so that it has a positive effect on model capacity? I didn't see that in the example shown in this video.

What should I do for multi class text classification?

Sir, can we use Tensor flow for unsupervised learning like text clustering using word embedding ??

Next video???😢😢

This is so much fun! I really hope you could teach Time Series and forecasting please

I want to create a similar movie recommender based on the plot description of the movies to recommend the similar movies ,
I tokenized , stop words , lematization on my data and trained on skip grap tensorflow method but how can i retrieve the nearest most similar movies? Like we do in word2vec model.most_similar.method

Yup buddy you Rock,keep it yup.🥺🥺🥺😍👍

Not totally on the topic, but are there public datasets available for NLP in domains such as finance (stock market)? Sentiment analysis seems trending, but you need somehow a labeled dataset of financial news/Twitter posts etc. Or without any labelling, you are left to use some kind of unsupervised learning along, but it might affect your overall structure etc.

TensorFlow is a delicacy.. love it

hey if we believe in you,I think we cannot acheive any goals regarding to this channel specifically