The project is an inspiration to spread positivity and keep ourselves away from toxic/hate-speech on twitter with a very efficient data analytics tool.
What it does
Wondering on how to rate someone in terms of positivity , neutrality or negativity ? The project searches for any public twitter account and rates a person/group/organization based upon the rating of their tweets on certain attributes of positivity and negativity !
How We built it
A mix of many technologies we used to create it :
- Twitter API
- Natural Language Processing
- React-Native Web
Challenges I ran into
The time frame of the hackathon was a bit short , so it became quite a big task to complete everything on time and host it as well!
Accomplishments that We are proud of
-Completing this project in the Hackathon time-frame and learning a lot during this time.
-The User Interface that is very easy and handy to go.
-Also , we have options to scale our project even higher with possibilities added.
What We learned
-We learnt how to have fun and build amazing projects together.
-A lot of learning through various sessions, workshops and domains like cooking explored :p
-A lot of new Technologies , used Twitter API and got wonderful insights into using these technologies for our own good.
What's next for Let's analyse twitter : Twitter-Analyse
We are looking forward to expand the data that we are visualizing here:
-Knowing and exploring political alignment in feeds one follow.
-Checking Facts in a Twitter newsfeed.
-Making Networking graphs of follower base