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Hands-On Transfer Learning with Python
book

Hands-On Transfer Learning with Python

by Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh
August 2018
Intermediate to advanced
438 pages
12h 3m
English
Packt Publishing
Content preview from Hands-On Transfer Learning with Python

Building a review sentiment classifier

Let's now build a sentiment classifier by training the preceding CNN document model. We will be using the Amazon Reviews for Sentiment Analysis dataset from https://www.kaggle.com/bittlingmayer/amazonreviews to train this model. This dataset consists of a few million Amazon customer reviews (input text) and star ratings (output labels). Here is the the data format: label followed by space, review titles followed by : and a space, are prepended to the review text. This dataset is much bigger than the popular IMDB Movie Review dataset. Also, this dataset contains quite a diverse set of reviews of various products and also movies:

__label__<X> <summary/title>: <Review Text>Example:__label__2 Good Movie: ...
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Publisher Resources

ISBN: 9781788831307