Chatbot Application on Cryptocurrency

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dc.contributor.authorXie, Qitao
dc.contributor.authorZhang, Qingquan
dc.contributor.authorTan, Dayuan
dc.contributor.authorZhu, Ting
dc.contributor.authorXiao, Shen
dc.contributor.authorLi, Beibei
dc.contributor.authorSun, Lei
dc.contributor.authorYi, Ping
dc.contributor.authorWang, Junyu
dc.date.accessioned2019-11-01T16:19:03Z
dc.date.available2019-11-01T16:19:03Z
dc.date.issued2019-07-11
dc.description2019 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr)en_US
dc.description.abstractMany chatbots have been developed that provide a multitude of services through a wide range of methods. A chatbot is a brand-new conversational agent in the highspeed changing technology world. With the advance of Artificial Intelligence and machine learning, chatbots are becoming more and more popular. A chatbot is the extension of human interface mediums such as the phone and social platforms. Similarly, Cryptocurrency is a new extension of digital or virtual currency designed to work as a medium of exchange. In the current digital exchanging world, investors and interested parties are eager to know more information about, and the capabilites of, this new type of currency. One of the potential paths to retrieve the info automatically and quickly is through a chatbot. We explored the open source python library, Chatterbot, to apply Itchat API (a WeChat interface) with the aim of building a robot chatting application, I&C Chat, on the topic of cryptocurrency. First, we collected question and answer pairs datasets from Quora websites. Furthermore, we also created API calls to query the real time quote for the top 25 cryptocurrencies. Then we used the collected data to train our chatbot and implemented a logic adapter to receive the price quote of cryptocurrencies based on the incoming question. The Itchat API method will return the best matched answer to the asking party automatically. The response time of different questions has been investigated. The results imply that this application is quite useful, feasible and beneficial to the digital currency world.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/8759121en_US
dc.format.extent8 pagesen_US
dc.genreconference proceedings and papers preprintsen_US
dc.identifierdoi:10.13016/m2nqwh-cejs
dc.identifier.citationXie, Qitao; Zhang, Qingquan; Tan, Dayuan; Zhu, Ting; Xiao, Shen; Li, Beibei; Sun, Lei; Yi, Ping; Wang, Junyu ; (2019); Chatbot Application on Cryptocurrency; https://doi.org/10.1109/CIFEr.2019.8759121en_US
dc.identifier.urihttps://doi.org/10.1109/CIFEr.2019.8759121
dc.identifier.urihttp://hdl.handle.net/11603/16021
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights©2019 IEEE
dc.subjectChatboten_US
dc.subjectCryptocurrencyen_US
dc.titleChatbot Application on Cryptocurrencyen_US
dc.typeTexten_US

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