Repositories (2)
Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka
Webber is a distributed twitter like application written in Go using Raft consensus algorithm for leader election, log replication, handle node failure mechanism. The application uses etcd Raft library and has 3 microservices which communicate using gRPCs