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| open System | |
| open System.ServiceModel | |
| open Microsoft.FSharp.Linq | |
| open Microsoft.FSharp.Data.TypeProviders | |
| (* bit dumb but because service requests authentication, and we can't do that in the wsdlservice tp, we have to download wsdl, load it up locally, set | |
| binding up properly, then use tp *) | |
| open System.Net | |
| open System.IO | |
| open System.Text |
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| (* | |
| From http://blog.oddhead.com/2006/10/30/implementing-hansons-market-maker/ | |
| *) | |
| open System | |
| // --------------------------------------------------- | |
| // first off some helper functionality to report messages as events, copied straight off Don Syme's blog: http://blogs.msdn.com/b/dsyme/archive/2010/01/10/async-and-parallel-design-patterns-in-f-reporting-progress-with-events-plus-twitter-sample.aspx |
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| <?xml version="1.0" encoding="utf-8"?> | |
| <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns="http://schemas.microsoft.com/vs/2009/dgml" version="1.0"> | |
| <xsl:output method="xml" indent="yes"/> | |
| <xsl:template match="/"> | |
| <DirectedGraph> | |
| <Nodes> | |
| <xsl:apply-templates select="ManagementPack/TypeDefinitions/EntityTypes/ClassTypes/ClassType" /> | |
| </Nodes> | |
| <Links> | |
| <xsl:apply-templates select="ManagementPack/TypeDefinitions/EntityTypes/RelationshipTypes/RelationshipType" /> |
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| -- T-SQL based sentiment analysis on text following approach in http://dl.dropboxusercontent.com/u/4839225/twitter%20text%20mining%20with%20R.pdf | |
| -- with trending over time | |
| -- create scoreword table and populate from a list of word scores such as the opinion lexicon listed in http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html | |
| CREATE TABLE [ScoreWords]( | |
| [word] [varchar](50) NOT NULL, | |
| [score] [int] NOT NULL | |
| ) ON [PRIMARY] | |
| -- create a table of stopwords and populate them with a suitable list eg check http://en.wikipedia.org/wiki/Stop_words |
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| #r "System.IO" | |
| #r "System.IO.Compression" | |
| #r "System.IO.Compression.FileSystem" | |
| open System.IO | |
| open System.IO.Compression | |
| // open up streams from there | |
| for entry in Compression.ZipFile.OpenRead(@"c:/temp/test.zip").Entries do | |
| printfn "%s" entry.FullName |
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| open System | |
| #r @"../packages/FSharp.Data.1.1.10/lib/net40/FSharp.Data.dll" | |
| #r @"c:\wd\MathDemo\packages\MathNet.Numerics.2.6.2\lib\net40\MathNet.Numerics.dll" | |
| #r "../packages/MathNet.Numerics.FSharp.2.6.0/lib/net40/MathNet.Numerics.FSharp.dll" | |
| open MathNet.Numerics.LinearAlgebra | |
| open MathNet.Numerics.LinearAlgebra.Double |
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| #r @"C:\wd\AzureTxnUploader\packages\WindowsAzure.Storage.2.0.6.0\lib\net40\Microsoft.WindowsAzure.Storage.dll" | |
| #r @"C:\wd\AzureTxnUploader\packages\Microsoft.Data.OData.5.2.0\lib\net40\Microsoft.Data.OData.dll" | |
| #r @"C:\wd\AzureTxnUploader\packages\Microsoft.Data.Edm.5.2.0\lib\net40\Microsoft.Data.Edm.dll" | |
| #r @"C:\wd\AzureTxnUploader\packages\System.Spatial.5.2.0\lib\net40\System.Spatial.dll" | |
| #r "Microsoft.WindowsAzure.ServiceRuntime" | |
| open System | |
| open Microsoft.WindowsAzure | |
| open Microsoft.WindowsAzure.Storage |
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| // | |
| // We're going to simulate some financial transactions and experiement with storing them in azure table storage | |
| // | |
| //#r "..\packages\Fog.0.1.3.1\Lib\Net40\Fog.dll" | |
| //#r "..\packages\FogMyBuild\Debug\Fog.dll" | |
| //#r "Microsoft.WindowsAzure.Diagnostics" | |
| #r @"C:\wd\AzureTxnUploader\packages\WindowsAzure.Storage.2.0.6.0\lib\net40\Microsoft.WindowsAzure.Storage.dll" | |
| //#r @"C:\wd\AzureTxnUploader\packages\Microsoft.Data.Edm.5.5.0\lib\net40\Microsoft.Data.Edm.dll" |
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| #r @"C:\wd\AzureTxnUploader\packages\WindowsAzure.Storage.2.0.6.0\lib\net40\Microsoft.WindowsAzure.Storage.dll" | |
| #r @"C:\wd\AzureTxnUploader\packages\Microsoft.Data.OData.5.2.0\lib\net40\Microsoft.Data.OData.dll" | |
| #r @"C:\wd\AzureTxnUploader\packages\Microsoft.Data.Edm.5.2.0\lib\net40\Microsoft.Data.Edm.dll" | |
| #r @"C:\wd\AzureTxnUploader\packages\System.Spatial.5.2.0\lib\net40\System.Spatial.dll" | |
| #r "Microsoft.WindowsAzure.ServiceRuntime" | |
| #r "System.Data.Services.Client" | |
| #r "System.Linq" | |
| open System |
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| # download tweets using twitter search api, combine text and count +ve -ve words to get sentiment | |
| # minor modifications to the code taken from | |
| # http://jeffreybreen.wordpress.com/2011/07/04/twitter-text-mining-r-slides/ | |
| library(RCurl) | |
| library(twitteR) | |
| library(ROAuth) | |
| requestURL <- "https://api.twitter.com/oauth/request_token" | |
| accessURL = "http://api.twitter.com/oauth/access_token" |