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You're reading from  Big Data Analytics with Java

Product typeBook
Published inJul 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781787288980
Edition1st Edition
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RAJAT MEHTA
RAJAT MEHTA
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RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.
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Sentimental analysis


As we showed in the previous examples, Naive Bayes has extensive usage in text analysis.

One of the forms of text analysis is sentimental analysis. As the name suggests this technique is used to figure out the sentiment or emotion associated with the underlying text. So if you have a piece of text and you want to understand what kind of emotion it conveys, for example, anger, love, hate, positive, negative, and so on you can use the technique sentimental analysis. Sentimental analysis is used in various places, for example:

  • To analyze the reviews of a product whether they are positive or negative

  • This can be especially useful to predict how successful your new product is by analyzing user feedback

  • To analyze the reviews of a movie to check if it's a hit or a flop

  • Detecting the use of bad language (such as heated language, negative remarks, and so on) in forums, emails, and social media

  • To analyze the content of tweets or information on other social media to check if a political...

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Big Data Analytics with Java
Published in: Jul 2017Publisher: PacktISBN-13: 9781787288980

Author (1)

author image
RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.
Read more about RAJAT MEHTA