Content-PDF-Keywords Definitions: We need to extract keywords from the uploaded content to use them by analysis team to generate insights base on The problem: After checking service features we ended up that the service doesn't support keywords feature AWS Comprehend Suggested Solution: After do research for trusted SAAS service we got that support keywords and more features we need IBM WATSON NLP How the solution work: Once content uploaded, a SNS sent to NewContentUpload_Production Topic then triggers that pulls search.json file from : CONTENT_TEXTS_JSON_TO_TXT_PROD lambda source S3 bucket celero-media-and split it to separated .txt files for each page text to : , texts folder production destination S3 bucket celero-media-production once page.txt created, will trigger CONTENT_TEXT_NOTIFICATION S3 notification CONTENT_KEYWORDS_METADATA_GENERAT that will take page text and extract its keywords, then finally store them in json file in : E_PROD lambda S3 bucket celero-metadata-prod once content keywords file created, will sent to Content-Metadata-Keywords-Notification S3 notification Content-Metadata-then it will trigger to ingest keywords file to Keywords-Prod topic content_metadata_keywords_prod_pipe snowpipe destination : snowflake table METADATA_CONTENT_KEYWORDS_PROD METADATA_CONTENT_KEYWORDS_VW_PROD will give you the top keywords which its score > 0.5 snowflake View Note: IBM WATSON NLP SAAS API has rate limitation. Each Natural Language Understanding service instance is limited, based on the number of requests being processed. For the Lite plan, the limit is 5 requests per second; for the Standard plan, . the limit is 150 requests per second To overcome this in future we can use feature which expose its feature to other clouds and it uses tool to drawback IBM Cloud Pak OpenShift handle scalability. 

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CELERO-Content-PDF-Keywords-020222-1247

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