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5 comments

  • Konsta Danyliuk

    Hello Mani,
    Thank you for contacting Datameer Support.

    May I ask you to provide more details on the issue, please?

    • What exactly steps you stuck at the moment?
    • Are there any specific errors in Datameer?

    Please also walk through our documentation for Visualising Data to get more information for the process.

     

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  • Mani Kandan

    Konsta,

    The extracted twitter data is stored in a workbook. Now how to extract positve/negative tweets from this? What functionality to be used for this?

    I don't find any straightforward documentation for this.

    I would like to create visualization/charts similar to the one in the below link:

    https://www.datameer.com/documentation/current/Twitter+Analysis

    Can you please help?

     

    -Mani

     

     

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  • Konsta Danyliuk

    Hello Mani,

    As far as I understand you need to create an Infographic based on a data built in a Workbook.

    Please check our documentation about Visualisation instruments, it contains a lot of useful information and instructions for how make your data visualised.

    Infographic Basics

    Types of Infographic Widgets

    Visualizing Data

    Please let me know if you will face any particular difficulties with the process.

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  • Mani Kandan

    Konsta,

    I am not clear with the below statement in your link : https://www.datameer.com/documentation/display/DAS50/Twitter+Analysis

     

    "The S3 connection brings in sentiment dictionary data and uploads it using the SentimentDictionary import job."

    Basically I have twitter data in workbook and want to generate positive/negative tweets. How can I do that? I request you to write detailed steps.

     

    -Mani

     

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  • Konsta Danyliuk

    Hello Mani,

    Twitter Analysis is pre-built use case available via Datameer AppMarket. This means that when you install an App, you get access to whole data used to build this analytics - From a Connection and an ImportJob, which are required to ingest data into Datameer to a Workbook, which makes the logic and an Infographic, that lets you to visualise your analytics results.

    >> The S3 connection brings in sentiment dictionary data and uploads it using the SentimentDictionary import job.

    This means that SentimentDictionary.csv file, we use as a source to build analytics in a Workbook, is located at S3 storage. Connection to this storage has been created in Datameer. Then, using this connection, we created an ImportJob to ingest data into Datameer.

    To understand how exactly this analytics has been built, you should walk through corresponding artefacts to find out what formulas and instruments have been involved. The same in for Infographic, it is available in edit mode, so you have a chance to take a look what data has been used for particular widget (please refer to documentation provided earlier).

    Below documents will help you to better understand every step of the process.

    Configuring a Connection
    Importing Data
    Working with Workbooks

    You may also check our Datameer University to get more knowledge about the product.

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