Regarding Spark Streaming, the data flows into our Spark programme in real-time.
Spark Streaming is used in the real world to analyse how people feel about things on Twitter. Trending topics can be used to make campaigns that reach more people. It helps with managing crises, making changes to services, and marketing to specific groups.
The sentiment is how someone feels about something they say on social media. Sentiment analysis is putting tweets about a specific topic into groups and using Sentiment Automation Analytics Tools to mine data.
With Spark Streaming, the Spark programme can get live tweets from all over the world. We can use Spark SQL to filter this stream, and then we can filter tweets based on how they make us feel. The logic for filtering will be built with MLlib, which lets us learn from how people think and change our filtering scale to match.
