Real-time Social Media Sentiment Analysis Using RisingWave and StreamNative
Real-time Social Media Sentiment Analysis Using RisingWave and StreamNative
Social media platforms handle an immense volume of messages from millions of users daily. With trending topics constantly shifting, it can be challenging for companies to keep up. A streaming system can play a vital role in this process by allowing companies to stay updated on trending topics in real-time.
David Kjerrumgaard, Emily Le
JAN 23, 2025
Details

Social media platforms handle an immense volume of messages from millions of users daily. With trending topics constantly shifting, it can be challenging for companies to keep up. A streaming system can play a vital role in this process by allowing companies to stay updated on trending topics in real-time.

To monitor trends, social media platforms like Twitter rely on hashtags to categorize posts. The frequency of a hashtag's use reflects audience engagement. When a hashtag is used frequently, it signals a topic's popularity. By tracking the usage of a hashtag over time, companies can gauge whether interest in a topic is growing or declining.

In this webinar, David and Emily will demonstrate how to retrieve Twitter events related to hash-tags from a data generator, ingest it into StreamNative Serverless topic and read it in RisingWave to perform real-time events processing to extract key insights.

Speakers
David Kjerrumgaard - Developer Advocate at StreamNative
Emily Le - Developer Advocate at RisingWave Labs

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