*** ONLY APPLY IF YOU ARE COMFORTABLE WITH (1) TWITTER'S API AND (2) PANDAS **
I have a tool that exploits Twitter's API for research purposes and is 100% approved to use by Twitter.
However, in its implementation there have been a few holdups. For example, it is getting stuck on downloading tweets with one hashtag that has a long history. We need to modify the programme so that it skips to the next hashtagif it has already downloaded a very high number of tweets for that time window, e.g. 4-6PM of a given day in the history of tweets of that hashtag.
This project requires you to take my existing tool and make the necessary adjustments to ensure that my dataset of Tweets is properly built.