cuhacking2020-teammikelsimps

Using Twitter APIs and Natural Language Processing libraries we analyze recent tweets to find potential production issues for RBC web and mobile applications. Made for the RBC analytics challenge.

As a team most of us have only had a very small amount of experience with web development, so we decided to go all in on a node.js project with API calls to twitter and usage of a natural language processing library to complete the RBC challenge and learn more about the web tech stack. Along the way we faced a lot of challenges, having never built a proper UI in js we had quite a lot of trouble messing around with bootstrap until we decided to just make a simple html design instead and focus on the technical aspects for our API calls and nlp library usage to select tweets that are relevant to possible issues with RBC applications.

Built With

• css
• html
• javascript
• natural-language-processing
• node.js
• sentiment.js
• twitter