Project
The projects was in the Big data team at OEPC, where I was to explore various NLP techniques to guide and aid management to make better business decisions.
Project Details
In this project, I developed a text and sentiment analysis to analyse energy market behaviour using online tweets. Initially implemented a Social Network Analysis(SNA) and network visualisation of tweets and retweets to understand the online market influencers in the energy market.
A dataset with online tweets concerning oil and natural gas markets were extracted, cleaned and assigned sentiments to train the deep learning models. The data was trained on various deep learning models such as LSTM, Bi-LSTM, TreeLSTM and Trandformers. The trained model was used to predict daily markets sentiments. These models along with sentiments were explored to forecasts oil prices and oil demand.
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