A real time Tweet Trend Map and Sentiment Analysis web application with kafka, Angular, Spring Boot, Flink, Elasticsearch, Kibana, Docker and Kubernetes deployed on the cloud
APACHE-2.0 License
Published by zmyzheng almost 4 years ago
Published by zmyzheng about 7 years ago
Features:
UI improvement:
1.1 add username, create time, place to front end UI
1.2 set the default filter distance to 1000 km
keywords change:
In v1.0.0, the number of tweets with keyword "job" is much larger than that of other keywords. In this version, we modify some keywords and change them to [ "sports", "family", "movie", "google", "apple", "amazon", "fashion", "food","song", "study"]
Published by zmyzheng about 7 years ago
Tweet Map with Trends
This project develop and deploys a web application using AWS Cloud services. The web application would collect Twitts and do some processing and represent the Twitts on GoogleMaps. Following are the required steps: