How would you architect a scalable platform for analyzing sentiment in millions of social media posts in real-time?

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Anonymous · Accepted Answer

First i woll handle the big data by handle spiky with apache kafka and then
clean data, spam for processing of stream with apache spark then use lambda for
execute scoring like negative or positive and analytic with opensearch for
implement with finding trend, tracking with real time alert about the
implementation in each, about first one it will implement by ingest into
distribute topic and stream, second one can implement about state, time and
prepare schema for training the model, the third one for optimized nlp models to
handle million request.

How would you architect a scalable platform for analyzing sentiment in millions of social media posts in real-time?

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