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Text mining and content analysis


In this course we will learn about the uses of the sentiment analysis. The sentiment analysis is a part of textual analysis born in the last years, through the user comments analysis, and the use of tweets for predictive analysis. In this course we will discover the uses that can be made of sentiment monitoring, and how to use it to refine our marketing strategies.In the first section we will learn how to structure your search, the data to extract, and how to use the sentiment for benchmarking and users analysis.In the second section we will discover how to make the text normalisation, and in the third we will learn to use some tools for automatic analysis for sentiment in tweets and text.The fourth section is focused on some special tools for the tweets analysis. We will also discover how to use Google spreadsheets to create a tweets database.The fifth section is focused on user feedback analysis to improve your marketing strategies. There you will also find the software to extract user comments from sites like Facebook (public pages), Amazon, Youtube and Disqus.The course ends with a section with some mixed tools that allow, in addition to some sentiment analysis, other kind of content analysis.

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