Predict hot topic on a specific region based on analysing tweets and their origin location. -- 2

Applications that use Geographical location information are growing rapidly and generating new services based on this information. Some social networks such as Twitter have the ability to store the location where the user sends his sharing items. In this project we try to analyse tweets that are divided to groups based on their location regions. We are planning to utilize deep learning algorithms in order to find out the hot topics on specific regions that users’ tweets about. We will use different algorithms and compare them between each other. Therefore this project will combine semantical analysis with location analysis. This research aims to use public Twitter data utilizing Twitter APIs to retrieve tweets along with their locations.
The dataset has to be from Twitter (prefers fresh data) should contain at least the flowing:
- The user name
- The tweet itself(text)
- The location of the users
- Time of the tweet
- The subject
- Retweet and favorite count
- Source of the tweet such as Twitter for iPhone or Twitter for Android
- The language of tweets is Arabic
The result of this program must show the trend of each location for example
People at Riyadh talking more about sport, people at Jaddah talking more about care …etc

The plan of work is as below :
- The First week must be agreed on the dataset
- Second Week to show some progress (each Friday)
- The Third week to show the latest work which is done
- The Fifth week to see the first release of the program
- Sixth and seventh week to review and explain the work together
- I need to record some videos explains the work
- And the final report of the work describe what have been don
The timeline is 7 weeks