Session

Developers want to develop real-time applications that can turn raw text data into analyzed sentences and smart sentiment? Have you heard of real-time analytics, let's leverage your Python skills to make it happen now.

In this talk I will show developers how to develop real-time applications that use Pulsar functions to turn live event data into live NLP results and sentiment analyzed output.

We will walk through how to setup various scenarios to feed live data from apps and webapps to Apache Pulsar for real-time analytics and NLP.

At the end of the talk, developers will be able to use Python for real-time NLP analytics and have gained insight on how and when to use various streaming protocols, platforms, libraries and systems including Apache Pulsar, Apache Kafka, MQTT, Websockets, AMQP and Apache Spark.