Extracting Data From Your Open Source Communities

Video in TIB AV-Portal: Extracting Data From Your Open Source Communities

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Extracting Data From Your Open Source Communities
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Group action User interface State of matter Multiplication sign Patch (Unix) MIDI Parameter (computer programming) Computer font Discrete element method Product (business) Number Element (mathematics) Hypermedia Operator (mathematics) Focus (optics) Knowledge base Moment (mathematics) Projective plane Open source Data storage device Instance (computer science) Symbol table Type theory Message passing Word Radius Computer configuration Ring (mathematics) Video game Right angle Summierbarkeit Quicksort
Computer configuration Visualization (computer graphics) Open source Series (mathematics) Mereology
Type theory Word Open source Energy level Disk read-and-write head
Googol Core dump
the next thing is going to 1 thing that I think about moving in the end of the that but here's the here's the
thing that you can create a new type of data used in the study of of the of the of the of the of the of the heat and that all the letters are not In the 1st of the and let's focus on the quality of the product that the will here but all the of this on the data of various pieces of the story of the support and in a sense the only thing that varies with so there is this really useful to have of the project you want to know more about happened the radius of the ring of fire elements of the people in the and then you might think that and and the more it not in the usual that is reasonable and that states that the argument you of where you were the elements are stored and the finale taste as has started in the past years the past overview right here in the state of state and stores in the then the right of the symbol of the operator to extract acting out depending on what is a 1 of moment so this is just a really good example of this is going to have the most of my friends in west of the top of critical encouraging and get the number of messages that may be the residual so that you can look at the number of messages per person from the main thing the the about the company that the 49 of messages with the words on the media interest in finding all of the outgoing with those that and you were patch for a certain is the sum of the sentence you and then you're looking at the time that it is not a very similar so there is a very simple with that number the person with the calibration can right you look at the top of the time people the instance the knowledge base and the 1st thing you find out what the number of the person in of the year of life that we use outline of the that's in the in the name of the series of and but there are a lot of tools and the here and there is the terms so that the data already use that and there's another 1 that looks at the a that all mental lexicon and interesting because those are tools that you know the aggregated across all of these different groups so 1st of sorts have helped you figure out that they presented posted this rather than unless the person is meant for the the 1st time maybe something that you don't have title those things
together and and you have you
lost his leisure of look back into the again it's is not part of the series years and it doesn't really really interesting visualisation it on the outside and the current
head detail here but you can see my
my with level of the body so I didn't talk on writing about words so you can see exactly how to do that in most writing and then I also developed the 1st type of technologies that think know we have something about the the thank you know what the you know


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