Analyser of sentiment of the public for bank of Breda

Inspiration

There is a lot of research on state of the art natural language processing techniques in machine learning. However, these techniques see very little action is practice. Here, we use these new developments in a practical application.

What it does

Allow financial analysts to understand the sentiment around a company by scraping the internet for reviews and gathering them in one grade.

How we built it

We use vue.js, nodeJS, Python, Pytorch and Selenium and a lot of love.

Challenges we ran into

Making the application full stack and combining it with a running server.

Accomplishments that we're proud of

We managed to implement state of the art machine learning natural language processing and integrated it in a full stack application.

What we learned

Changing colors of columns is surprinsingly hard.

What's next for Analyser of sentiment of the public for bank of Breda

We are open to negotiation around acquisition price. Slide in our DMs ;D

Built With

• javascript
• python
• vue