Dora, your intention reader
Every second, thousands of people share information on Twitter. Events ripple through the network generating valuable insights. How can we capture those insights in a massive and automated way? With the help of Big Data and Machine Learning.
Dora relies on Kafka and Spark in order to capture Twitter Streaming data and on Tensorflow to mine opinions and extract entities.
What can be accomplished with this?
For marketing companies: going beyond mentions on Twitter and gathering real feedback with positive or negative opinions.
For political advertising: monitoring and reporting voters’ feedback on events or political actions.
For Television and Radio ratings: getting real-time audience measurements.
Predictive Analytics: enhancing customer churning predictions.
- Low cost compared with traditional polling mechanisms
- High effective information gathering from social media
- Highly flexible and fast campaign setup
- Realtime feedback
Kafka, Spark, MongoDB
Keras and Tensorflow