How-to-build-own-text-summarizer-using-deep-learning

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How to implement prediction to a new review

5

How can i use the model to compute prediction for an inserted review by the user!! Any help! And how to overcome the problem of duplication in the output summary??!

hala97

ratnesh-advance

Google colab taking too much time and crash

ratnesh-advance

Attention layer code is not available on given repository link

3

The link you gave for attention layer in the starting of repo is not available please check!

ruchi-sharma1

ValueError: Dimension 1 in both shapes must be equal, but are 7 and 30. Shapes are [30,7] and [30,30].

3

There is problem is training. the dimensions of decoder_outputs and attention_output

Shridharpawar77

#prepare a tokenizer for reviews on training data y_tokenizer = Tokenizer(num_words=tot_cnt-cnt) y_tokenizer.fit_on_texts(list(y_tr)) #convert text sequences into integer sequences y_tr_seq = y_tokenizer.texts_to_sequences(y_tr) y_val_seq = y_tokenizer.texts_to_sequences(y_val) #padding zero upto maximum length y_tr...

Amit89499

Link for attention.py expired

3

karthik9319

When i am running the code in model building, the following line of code is showing error # Encoder encoder_inputs = input(shape=(max_text_len,)) TypeError: raw_input() got an unexpected keyword argument 'shape'

Rajanaarya

unable to understand how X and y are being sent into model.fit

1

Can you please explain what is happening where you are sending in y_tr[:,:-1] into as X into the model. ``` history=model.fit([x_tr,y_tr[:,:-1]], y_tr.reshape(y_tr.shape[0],y_tr.shape[1], 1)[:,1:] , epochs=50, callbacks=[es], batch_size=128, validation_data=([x_val,y_val[:,:-1]], y_val.reshape(y_val.shape[0],y_val.shape[1], 1)[:,1:]))...

cerofrais

Expected Operation, Variable, or Tensor, got 1

2

Hello, @aravindpai and all, I am facing issue with history=model.fit([x_tr,y_tr[:,:-1]], y_tr.reshape(y_tr.shape[0],y_tr.shape[1], 1)[:,1:] ,epochs=50,callbacks=[es],batch_size=512, validation_data=([x_val,y_val[:,:-1]], y_val.reshape(y_val.shape[0],y_val.shape[1], 1)[:,1:])) TypeError: Expected Operation, Variable, or Tensor, got 1. Can somebody help me, I don't...

violeta-goranova