PTI.Analyzers
1.1.3-beta
dotnet add package PTI.Analyzers --version 1.1.3-beta
NuGet\Install-Package PTI.Analyzers -Version 1.1.3-beta
<PackageReference Include="PTI.Analyzers" Version="1.1.3-beta" />
paket add PTI.Analyzers --version 1.1.3-beta
#r "nuget: PTI.Analyzers, 1.1.3-beta"
// Install PTI.Analyzers as a Cake Addin #addin nuget:?package=PTI.Analyzers&version=1.1.3-beta&prerelease // Install PTI.Analyzers as a Cake Tool #tool nuget:?package=PTI.Analyzers&version=1.1.3-beta&prerelease
PTIAnalyzers
This package allows you to get some insights on sentiment and personality based on a given text. Package requires you to have credentials for Azure Text Analytics and IBM Personality Insights
Usage Research
Please let us know how you will use this package in order to make it better for you: https://www.surveymonkey.com/r/68TG9G8
Non-Developers
A Windows Tool will be hosted and frequently updated for demo purposes. Currently it only supports analyze a given text and save the generated excel file. Download and unzip the file "PTI Analyzer Win Client.zip"
Developers
Pre- Requirements
In order to be able to use the package, you need to have the following
- Azure Text Analytics.
- You can learn how to configure one here: https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-apis-create-account
- Get the access key and endpoint url https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-access-key
- IBM Personality Insights
- You can learn how to create an account here: https://cloud.ibm.com/docs/services/personality-insights?topic=personality-insights-gettingStarted#gettingStarted
- Get the username and password https://cloud.ibm.com/docs/services/watson?topic=watson-creating-credentials#creating-credentials
Analyze a given text
Install the package https://www.nuget.org/packages/PTI.Analyzers/
Create a new instance of TextAnalyzer and pass it the configured parameters.
If you want to intercept the http responses received, configure the event handler for OnHttpResponseReceivedEventHandler
Create a new instance of DataAnalyzer
Invoke "AnalyzeTextAndGenerateExcelFileAsync". It will return a byte[] corresponding to the generated XLSX file.
Do whatever you need to do with the generated bytes, such as save it to disk.
TextAnalyzer textAnalyzer = new TextAnalyzer(new MSTextAnalyticsConfiguration(Configuration.MSTextAnalyticsKey, Configuration.MSTextAnalyticsEndpoint), new IBMWatsonClientConfiguration(Configuration.IBMPersonalityInsightsUsername, Configuration.IBMPersonalityInsightsPassword)); textAnalyzer.OnHttpResponseReceivedEventHandler += TextAnalyzer_OnHttpResponseReceivedEventHandler; DataAnalyzer dataAnalyzer = new DataAnalyzer( textAnalyzer); var excelFileBytes = dataAnalyzer.AnalyzeTextAndGenerateExcelFileAsync(fileContents).Result; File.WriteAllBytes(@"C:\Temp\GeneratedExcelFile.xlsx", excelFileBytes);
Analyze a list of photos and generates temp files and byte[] with the modified image including the faces rectangles
Requires having credentials for Azure Face API and Computer Vision
Check Face API here https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview
Check Computer Vision here https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/home
PhotoAnalyzer photoAnalyzer = new PhotoAnalyzer(new MSFaceApiConfiguration( FACEKEY, FACEENDPOINT), new MSComputerVisionApiConfiguration(VISIONKEY, VISIONENDPOINT)); DataAnalyzer dataAnalyzer = new DataAnalyzer( photoAnalyzer); List<PhotoInformation> lstPhotos = new List<PhotoInformation>(); string testFile = @"C:\TestFilesDirectory\testFile.jpg"; lstPhotos.Add(new PhotoInformation() { Filename = testFile, PhotoStream = File.OpenRead(testFile) }); await dataAnalyzer.AnalyzePhotoStream(lstPhotos, Color.Blue, 10, @"C:\Temp\GeneratedFiles"); foreach (var singlePhoto in lstPhotos) { var filenameWithoutPath = System.IO.Path.GetFileName(singlePhoto.Filename); var newFileFullPath = $@"C:\Temp\ModifiedPhoto{filenameWithoutPath}"; File.WriteAllBytes(newFileFullPath, singlePhoto.ModifiedPhotoBytes); }
Analyze an excel file and retrieve a modified copy including per row sentiment, personality information and sentiment over time chart
TextAnalyzer textAnalyzer =
new TextAnalyzer(new MSTextAnalyticsConfiguration("REPLACE WITH KEY",
"REPLACE WITH ENDPOINT"),
new IBMWatsonClientConfiguration("REPLACE WITH USERNAME",
"REPLACE WITH PASSWORD"));
AnalyzeAndDownloadExcelFileParameters parameters =
new AnalyzeAndDownloadExcelFileParameters()
{
ColumnNameForSentimentResults = "Sentiment",
ColumnToAnalyze = "Description",
ColumnWithDate = "ItemDate",
ColumnWithUniqueId = "UniqueId",
WorkSheetName = "Sheet1"
};
using (var fileStream =
File.OpenRead(@"REPLACE WITH LOCATION OF .XLSX FILE"))
{
using (MemoryStream memStream = new MemoryStream())
{
fileStream.CopyTo(memStream);
byte[] fileContents = memStream.ToArray();
DataAnalyzer dataAnalyzer = new DataAnalyzer(textAnalyzer);
var outputFileContents = dataAnalyzer.AnalyzeAndModifyExcelFile(parameters,
fileContents, memStream).Result;
File.WriteAllBytes(@"REPLACE WITH FULL PATH FOR RESULTING .XLSX FILE", outputFileContents);
}
}
Analyze User Tweets
LinqToTwitter.SingleUserAuthorizer singleUserAuthorizer =
new LinqToTwitter.SingleUserAuthorizer()
{
CredentialStore = new LinqToTwitter.SingleUserInMemoryCredentialStore()
{
ConsumerKey = "REPLACE WITH YOUR TWITTER APP CONSUMER KEY",
ConsumerSecret = "REPLACE WITH YOUR TWITTER APP CONSUMER SECRET",
AccessToken = "REPLACE WITH YOUR TWITTER APP ACCESS TOKEN",
AccessTokenSecret = "REPLACE WITH YOUR TWITTER APP ACCESS TOKEN",
ScreenName = "REPLACE WITH YOUR username"
}
};
TextAnalyzer textAnalyzer =
new TextAnalyzer(MSTextAnalyticsConfiguration,
IBMWatsonClientConfiguration);
DataAnalyzer dataAnalyzer = new DataAnalyzer(singleUserAuthorizer, textAnalyzer);
var result = await dataAnalyzer.AnalyzeUserTweetsAndGenerateExcelFileAsync("REPLACE WITH USER HANDLE TO ANALYZE");
File.WriteAllBytes(@"REPLACE WITH THE DESIRED .XLSX FILE FULL PATH", result);
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. net9.0 was computed. net9.0-android was computed. net9.0-browser was computed. net9.0-ios was computed. net9.0-maccatalyst was computed. net9.0-macos was computed. net9.0-tvos was computed. net9.0-windows was computed. |
.NET Core | netcoreapp2.2 is compatible. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
-
.NETCoreApp 2.2
- EPPlus (>= 4.5.3.1)
- linqtotwitter (>= 5.0.0)
- PTI.CognitiveServices (>= 1.1.3-beta)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.
Version | Downloads | Last updated |
---|---|---|
1.1.3-beta | 444 | 10/16/2019 |
1.1.2 | 810 | 4/22/2019 |
1.1.2-beta | 509 | 4/21/2019 |
1.1.2-alpha | 444 | 4/18/2019 |
1.1.1-alpha | 455 | 4/17/2019 |
1.1.0-alpha | 451 | 4/17/2019 |
1.0.1 | 647 | 4/17/2019 |