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MARCINKULA.WORDPRESS.COM

ModelR

(by Marcin Kulakowski)

http://marcinkula.wordpress.com/

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ModelR | marcinkula.wordpress.com Reviews
<META>
DESCRIPTION
(by Marcin Kulakowski)
<META>
KEYWORDS
1 skip to content
2 modelr
3 leave a comment
4 load twitter library
5 library twitter
6 length hilton tweets
7 class hilton tweets
8 1 list
9 tweet=hilton tweets 1
10 class tweet
CONTENT
Page content here
KEYWORDS ON
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skip to content,modelr,leave a comment,load twitter library,library twitter,length hilton tweets,class hilton tweets,1 list,tweet=hilton tweets 1,class tweet,1 status,attr package,1 twitter,tweet$getscreenname,1 i rahofa,tweet$gettext,library plyr
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ModelR | marcinkula.wordpress.com Reviews

https://marcinkula.wordpress.com

(by Marcin Kulakowski)

INTERNAL PAGES

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1

Machine Readable Data | ModelR

https://marcinkula.wordpress.com/2011/11/17/machine-readable-data

November 17, 2011. How do we analyze news articles, blogs and tweets into actionable information that can be used in a matter of seconds? The design is robust so that we can have a list of words in any language, news stories of any type on any topic. Here is how I would approach the analysis:. 1) Load the static tables such as WORD, TOPIC, NEWS TYPE, LANGUAGE, which are optional in the physical implementation world and WORD TOPIC which is very important for our analysis. 5) Summarize for each topic.

2

Mining Twitter for consumer attitudes towards hotels | ModelR

https://marcinkula.wordpress.com/2012/03/09/mining-twitter-for-consumer-attitudes-towards-hotels

Mining Twitter for consumer attitudes towards hotels. March 9, 2012. Couple of months back I read Jeffrey Breen’s presentation on mining Twitter for consumer attitudes towards airlines, so I was just curious how it would look if I estimate the sentiment toward major hotels. So here it is:. Search for all the hilton tweets. Hilton.text=laply(hilton.tweets,function(t)t$getText(). Load list of positive and negative words for SIMPLE sentiment analysis. Poswords=c(hu.liu.pos,'upgrade'). L" "a" "ply" = "laply":.

3

56 years of FORTUNE’s 500 list of America’s largest corporations | ModelR

https://marcinkula.wordpress.com/2012/01/17/56-years-of-fortunes-500-list-of-americas-largest-corporations

56 years of FORTUNE’s 500 list of America’s largest corporations. January 17, 2012. The list was scraped from the web using R. From → Fortune 500. Larr; Machine Readable Data. Mining Twitter for consumer attitudes towards hotels →. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out.

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Make Everything Generic and Flexible? | ModelR

https://marcinkula.wordpress.com/2011/10/27/make-everything-generic-and-flexible

Make Everything Generic and Flexible? October 27, 2011. Here are just two simple ways to make your database design more generic and flexible, which is not always good but in certain cases it makes sense and it pays to do in the long term. First, is the preferences data, e.g. settings to your website, product, system, device etc. It should take care of any type of preferences/setting data and I have added some use cases based on iPhone device. ATTRIBUTE NAME: 'ENABLE 3G' VALUE TEXT: [Field name]. 8211; So...

5

ModelR

https://marcinkula.wordpress.com/2012/12/14/69

December 14, 2012. This blog moved to: http:/ databasr.blogspot.com/. From → Uncategorized. Larr; Mining Twitter for consumer attitudes towards hotels. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out. Notify me of new comments via email.

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December 14, 2012. This blog moved to: http:/ databasr.blogspot.com/. From → Uncategorized. Mining Twitter for consumer attitudes towards hotels. March 9, 2012. Couple of months back I read Jeffrey Breen’s presentation on mining Twitter for consumer attitudes towards airlines, so I was just curious how it would look if I estimate the sentiment toward major hotels. So here it is:. Search for all the hilton tweets. Hilton.text=laply(hilton.tweets,function(t)t$getText(). Or a vector as an "l" for us. Senten...

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ManagingComplexity – My experiences from the world of software and technology

My experiences from the world of software and technology. The importance of mentoring and knowledge sharing. Continue reading →. December 3, 2016. I had the pleasure of giving a talk on Clean Architecture at the February edition of Copenhagen Cocoa. The slides for the talk can be found here:. There is also a sample project, which accompanies the talk. It shows how Clean Architecture can be used to implement a single screen in an iOS application:. February 25, 2016. Array rotation in Swift. If I was to na...

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