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cornelliusyudhawijaya
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Amazon-Sentiment-Analysis

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  1. https://drive.google.com/open?id=1lYNzTH54R7sQUD1aj5jXkSP2l3RxGZqI
    2. 

  2. 

  3. Please download both file. Place .csv file in one folder with the notebook, and the .sav file in one folder with the amazon.py file 
    4.
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Integrate Google Cloud Storage
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Use Google Cloud Storage!

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Specify your Google Storage bucket

Service Account Key

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Amazon-Sentiment-Analysis is now integrated with Google Cloud Storage!

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Integrate AWS S3
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Congratulations!

Amazon-Sentiment-Analysis is now integrated with AWS S3!

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Integrate S3 compatible storage
Use S3 like remote
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Use any S3 compatible storage!

Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your S3 bucket

Access key (If needed)

Congratulations!

Amazon-Sentiment-Analysis is now integrated with your S3 compatible storage!

Delete Storage Key

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Yes
Integrate Azure Cloud Storage
Use Azure Storage
Select bucket
Set key
Finish

Use Azure Cloud Storage!

Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your Azure Storage bucket

Access key (If needed)

Congratulations!

Amazon-Sentiment-Analysis is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes