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Sentiment analysis on hotel reviews, using MongoDB, applying Dask parallel programming, comparing Recurrent and Convolutional neural networks and visualizating with Dash.

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jaimeraynaud/Hotel_reviews_2

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Hotel_reviews_2

In this second project, we will see how trying completely new different techniques, compared with the first assignment, we can predict whether or not a review is positive or negative, speeding up the process thanks to Dask or predicting with a complex Recurrent Neural Network.

The forecasting task achieves an accuracy in the predictions superior to 92%. Also, we will visualize the data with a living connection to a MongoDB database, in a visualization that follows the Mantra of visualization principles, using Dash.

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Sentiment analysis on hotel reviews, using MongoDB, applying Dask parallel programming, comparing Recurrent and Convolutional neural networks and visualizating with Dash.

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