UDEMY_DEVELOP_YOUR_MARKETING_STRATEGY_WITH_SENTIMENT_ANALYSIS_TUTORIAL-COMPRISED

Section
Appz
Group
COMPRISED
Size
441,84 MB
Files
12
Date
2015-06-16

NFO

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 |                                                                          \_.
 | Develop your marketing strategy with Sentiment Analysis                    |
 | (c) Valentina Porcu                                                        |
 |                                                                            |
 | Publisher ....: Udemy                                                      |
 | Level ........: all level                                                  |
 | Runtime ......: 1.5 hours                                                  |
 | Language .....: English                                                    |
 | Release Type .: Retail                                                     |
 | Release Format: ISO                                                        |
 | Store Date ...: 2015.05.28                                                 |
 | Release Date .: 2015.06.16                                                 |
 | ISO Size .....: 463,290,368                                                |
 | ISO Checksum .: 35B8A6DB                                                   |
 | Disk Count ...: 10 * 50MB                                                  |
 | Disk Name ....: comprised_udymswsa                                         |
 |                                                                            |
 | Link/URL .....: http://is.gd/ACcAZE                                        |
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 \  _\__________________\            /                                       :
 _\   \                                                                      |_
 \/                                                                         _|/
 |                                                                          \_.
 | 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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 \/ No news is good news!                                                   _|/
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 \  _\__________________\            /                                       :
 _\   \                                                                      |_
 \/ Some hardworking groups, and maybe you?                                 _|/
 |                                                                          \_.
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                                            \%%/ nfo by griskokare/impure!ascii
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