W
WeHack
Sentiment Analysis on Financial Tweets which essentially takes statements from Users to perform Sentiment on it
Created on 17th July 2022
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W
WeHack
Sentiment Analysis on Financial Tweets which essentially takes statements from Users to perform Sentiment on it
The problem WeHack solves
We built a Convolutional neural network that performs sentiment analysis of Financial News from scratch, which utilises a static dataset in this Project. The Project can further be used that to develop Social media monitoring system,Brand monitoring and reputation management system, Product analysis system, Market research and competitive research system in near future.
Right Now its outside the scope of this project.
Challenges we ran into
Since we had to save bandwidth, we did not want to use multiple html templates and CSS files. To do so, we implemented an Ajax function so that we only utilise one template. Initially, we found that to be a tad bit tricky, but eventually we got a handle on it.
Discussion
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