Twitter News Trends

McHacks 2018

We developed a program that uses Twitter's API to collect data on recent tweets surrounding a particular hashtag inputted by the user and then returns the 10 most occurring words in the collected tweets. This allows the user to get an idea of the topics surrounding their hashtag. The user can also specify the number of tweets they would like to consider.

The program was written in python, with the use of tweepy.

Limitations include Twitter's API which sets a rate limit on the number of tweets a user can access every 15 minutes.

Built With

python
tweepy

Submitted to

McHacks 2018

Created by

I worked worked on the python script to filter the tweets in order to find meaningful topics.

Raphaelle Tseng
Maths and CS @ McGill University
I worked on interpreting the extracted tweets as individual words and then counting the number of times they occur. I also helped with integrating all functions together.

Cheng Lin
I worked on the python script to extract tweets and print them to a text file. I also made a script to output the results to a bar chart.

Shafin Ahmed
Dafne Culha

Updates

Raphaelle Tseng started this project — Feb 03, 2018 10:51 PM EST

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