I have an issue of understanding how can I train the model for autocomplete text system.
The data I have is array which contain two elements the topic of article number and the article text.
example:
[1,“hello world”]
How can I train the model that this text belongs to this topic and then make the X input as 100 char and the y to be predict is y = 101
so how can i combine the topic of article and the article text.
any sugesstion!
Have you seen this video ?
The thing is I want to combine the LSTM with lda for autocomplete text, if my input is like a sequence of words and Y is the last word in the sentence, the question is how can I combine the lda features with my sequence features and feed it to LSRM model
Have you seen concatenate layer?
No, so this layer concatenates multiple inputs for the same output?
Did you read the example in the documentation?
Please pay attention to the axis argument for your needs.
Do you have time, I wanna show you my code, I need your advice of what to do!
I’m sorry. I don’t have a lot of time to help out on your personal project.
It shouldn’t hurt to leave a link to your code in the thread. Someone might have the bandwidth to look at it.
If this is urgent, please head to freelancing sites.
Good luck.
Thank you dear I appreciate your help