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topic_modeling_research

Link to published IEEE paper -> https://ieeexplore.ieee.org/document/10124009

This repository was forked from -> https://github.com/Kyeongpil/opinion-leader-analysis

Reference to original paper -> https://journals.sagepub.com/doi/pdf/10.1177/0894439319840716

Current dataset -> https://drive.google.com/drive/folders/10veMPAheyx5eJpkyyJeCzQJiKUca2JlS?usp=sharing

data/BTC/bitcoin_price.csv -> https://www.kaggle.com/mczielinski/bitcoin-historical-data

NMF

Our data is composed of a variety of different "signals." Each of these signals contributes to our data in its own unique way and NMF allows us to reveal them. We can think of our data as being the sum of all these signals, with the signals being the topics.

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