How to create a word2vector model from imdb dataset and get it's featuremap using CNN
If the size of your dataset is quite large you can easily employ Deep Learning to complete your project. 
First, you need to create a pipeline to convert your data into well representable form, and then feed into the model.
And do not worry about computational costs if you are writing in TensorFlow, the Google Cloud TPU offers free service on Google Colab.
I'm a newbie to python, i need to complete a project on IMDB Review sentiment analysis. I did not quiet understand how to train the imdb dataset aclImdb_v1.tar to a model.  Please show me how to train a model from this dataset.
Below is the method I need to implement for my project.
Text Reviews -> Embedded Layer -> Word vector generation ->
CNN -> Feature Maps -> LSTM -> Classification layer
The result I expect is to find if a review taken as input is either positive or negative.
Please help me out and pardon my unknowledgeable words, if any..