Twitter Bubble-Maker

Only See Tweets that Agree With You

Browsing Twitter can be difficult, because people criticize the things you like. So, only look at positive tweets!

For our Deep Learning 1 class, we built a model to classify whether the sentiment of a tweet is positive or negative, filter out the negative tweets, change their sentiment to positive, and then present only positive tweets.

Setup Instructions

• Clone the repository
• In the root folder, rename "connection_info_example.csv" to "connection_info.csv"
• Fill your Twitter API credentials into connection_info.csv
• Download the Twitter Sentiment Analysis Training Corpus - click the link that reads "Twitter Sentiment Analysis Dataset"
• In get_positive_tweets.ipynb, fill in your own systems FILE_PATH and the query you want to search Twitter for into "query"
• Run get_positive_tweets.ipynb

Contributing

To submit changes to this repo, please do the following steps:

• Make your changes in a new branch
• Upload your ipynb code as a .py so we can compare changes
• Open a Pull Request (PR) in Github, attempting to merge your branch into main, and request reviews from the group
• When you have approvals, merge your pull request

Authors

• Daniel Siegel - 101367445
• Michael McAllister - 101359469
• Hom Kandel - 101385341
• Eduardo Bastos de Moraes - 101345799
• Juan Clackworthy - 101372229