#83 run sentiment algorithm on sage maker

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close #83

Documentation Running the sentiment algorithm on sage maker.

Time	Description	Time taken
1. Moving the code to sage maker	1.5 hours
2. Creating buckets and uploading it to sage maker update the code in order to receive the data from S3	2.5 hours

Instruction

• log into AWS
• open the sag maker instance name sentiment_analysis_jupyter.ipynb
• run code

Test