Dear Bidders,
I am looking for a resource who is comfortable with deep learning, especially
with BiLSTM on Text reviews dataset . It is a sentimental analysis project.
I already have dataset and code. I shall provide you with that.
However, the requirement of the project is to add optimisation algorithm to BiLSTM .For BiLSTM, you can use the same code .I have also all the pre-processing steps included in the code. The only requirement is to apply optimisation algorithm to existing biLSTM code in such a way that accuracy is good as possible. Please put some concentration on increasing the accuracy :)
I did a similar project as my Udacity Advanced ML capstone where I have used Word2Vec, FastText and Universal Sentence Encoder for generating word embeddings and used a CNN-LSTM neural network and achieved an accuracy of 77% on the Sentiment140 dataset. So, I think I can try my level best to improve the accuracy of your model.
₹800 INR 2 gün içinde
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3 freelancers are bidding on average ₹1.267 INR for this job
i am already working as a data scientist with multiple certification in both machine learning and deep learning and work be interested in your problem.