@article {McMillanjoi.2021.1.213, author = {Benjamin McMillan and Joshua Myers and An Nguyen and Don Robinson and Mark Kennard}, title = {Analysis and Comparison of Natural Language Processing Algorithms as Applied to Bitcoin Conversations on Social Media}, elocation-id = {joi.2021.1.213}, year = {2021}, doi = {10.3905/joi.2021.1.213}, publisher = {Institutional Investor Journals Umbrella}, abstract = {Institutional interest in bitcoin has grown significantly since its {\textquotedblleft}bubble highs{\textquotedblright} in 2017; and given its lack of traditional fundamentals, investor sentiment is likely to drive price discovery. As social media has grown, Reddit has evolved to host significant conversations regarding bitcoin ({\textquoteleft}r/bitcoin{\textquoteright}) and general investing ({\textquoteleft}r/investing{\textquoteright}). We focus on these two channels using four distinct natural language processing algorithms to create an ensemble sentiment score and measure the relationship of the score to the change in bitcoin{\textquoteright}s price.}, issn = {1068-0896}, URL = {https://joi.pm-research.com/content/early/2021/12/09/joi.2021.1.213}, eprint = {https://joi.pm-research.com/content/early/2021/12/09/joi.2021.1.213.full.pdf}, journal = {The Journal of Investing} }