I'm trying to build a neural net to figure out the title of a song from a list of youtube video titles.
Observe the following examples
Post Malone - Circles (Lyrics) -> 'Circles' is the title
Ariana Grande & Justin Bieber - Stuck with U -> 'Stuck with U'
These are of course, simple examples, the titles I am working with is much more complex.
I've already setup a neural net. Tried to do Embeddings & LSTM layers but its just not working.
About me, I am already familiar with Python but am new to machine learning concepts and mathematics. Your job is to help me setup the right kind of layers, loss functions, text preprocessing. I also need to learn about terminologies like Named Entity Recognition(NER) and any possible alternative methods.
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Hello, How are you? I am very interested to your job as NLP expert, who has 7+ years of R&D experiences in topic modeling, NLU, NER. I think we can discuss more about it on live chat. Thank you
Hello, You are in the right truck. POS and NER tagging will help you to solve the problem. You can use Word2Vec also. Proper design of the network may give you better results. Let us discuss in detail. -- Tamal