Description
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In the field of natural language processing, finding the sentiment of a sentence is an important problem. In this assignment, we have attached a movie-review dataset.This movie-review dataset is a collection of movie-reviews labeled with their respective overall sentiment polarity(positive or negative).
Go through the movie-review dataset and design feed forward networks and show the evaluation in terms of precision, recall, f-score and accuracy. For the aforementioned networks, show the effect of back propagation on the learning rate (LR) and the step size.
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(Hint: Plot loss vs. LR, loss vs. step size, etc.)
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Note:Do not use any DL libraries(such as Theano, Keras,TF,PyTorch, etc)
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Implement multilayer perceptron (MLP) for XOR and NAND. Do not use any deep learning library.
Submission guidelines:
1.Markings will be based on the correctness and soundness of the outputs. Marks will be deducted in case of plagiarism.
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Proper indentation and appropriate comments (if necessary) are mandatory.
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You should zip all the required files and name the zip file as
roll_no_of_all_group_members.zip, eg. 1601cs11_1601cs03_1621cs05.zip.
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Upload your assignment (the zip file) in the following link: https://www.dropbox.com/request/kUBYmkRHAYPTl1Kr9ZT1
For any queries regarding this assignment contact:
Pratik Dutta (pratik24111991@gmail.com)
