- Parteek Slathia
- Prashant Deshpande
- ranadhir ghosh
- Rajiv Ramanjani
- sushma nayak
- Laxmikant Chitare
- Kunjan Shah
As a curse of digital evolution, the word today is plagued with misinformation with malafide intent. Technology has the potential to help government/authority to manage an avalanche of false information including social media and various websites. In case of pandemic, this type of false information can increase the stress of the population further.
Twitter is a very powerful social media, which needs be used for close monitoring for false information spread and understand the emotional health of our population.
What it does
We propose a novel solution to build a live dashboard tracker based on twitter post, that will provide the authority with real time tracking of COVID-19 related false claim based on twitter post – fact/number, artificially generated text, and also monitor the emotional health analysis.
All types of analytics will be stored in database alongside further information such as date, region, source etc. The solution architecture will be a generic one to be used further for other pandemic situation.
How we built it
Challenges we ran into
Getting real time data from twitter and sanitize it for creating ML model in a given time frame.
Accomplishments that we're proud of
What we learned
What's next for COVID19_FCA
we could support Facebook or blogs or web pages in future release to identify content with facts or opinion classification.
Try It out
angular.js, java, machine-learning, mongodb, python