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How to create a sentiment analysis model with Google Prediction API

To create a sentiment analysis model, Google offers a tutorial with 7 steps. The list includes collect data, label data, prepare data, upload data, train a model, make predictions, and update model with new data. This guide could be useful to analyze if tweets in social media are positive or negative and if the words of an e-mail include happy, frustrated, or sad sentiments.
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Be sure to read the next Sentiment article: How to build a Facebook Sentiment Analysis tool with Facebook Graph and DatumBox

Original Article

Creating a Sentiment Analysis Model - Google Prediction API — Google Cloud Platform