When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation
نویسندگان
چکیده
Bitcoin is an online currency that is used worldwide to make online payments. It has consequently become an investment vehicle in itself and is traded in a way similar to other open currencies. The ability to predict the price fluctuation of Bitcoin would therefore facilitate future investment and payment decisions. In order to predict the price fluctuation of Bitcoin, we analyse the comments posted in the Bitcoin online forum. Unlike most research on Bitcoin-related online forums, which is limited to simple sentiment analysis and does not pay sufficient attention to note-worthy user comments, our approach involved extracting keywords from Bitcoin-related user comments posted on the online forum with the aim of analytically predicting the price and extent of transaction fluctuation of the currency. The effectiveness of the proposed method is validated based on Bitcoin online forum data ranging over a period of 2.8 years from December 2013 to September 2016.
منابع مشابه
Prediction of user's trustworthiness in web-based social networks via text mining
In Social networks, users need a proper estimation of trust in others to be able to initialize reliable relationships. Some trust evaluation mechanisms have been offered, which use direct ratings to calculate or propagate trust values. However, in some web-based social networks where users only have binary relationships, there is no direct rating available. Therefore, a new method is required t...
متن کاملAn Investigation on the User Behavior in Social Commerce Platforms: A Text Analytics Approach
Nowadays, the tourism industry accounts for approximately 10% of the global GDP, while it only contributes 3% of the economy in Iran. Since the pressure of US sanctions increases day after day on the Iranian economy, the necessity of paying attention to this industry as a source of foreign currency is felt more than ever. The purpose of this research is to analyze the reviews of users of social...
متن کاملViral Marketing in an Online Discussion Forum
Online opinion leaders play an important role in the dissemination of information in discussion forums. They are a high-priority target group for viral marketing campaigns. On an average, an opinion leader will tell about his or her experience with a product or company to 14 other people. It is important to identify such opinion leaders from data derived from online activity of users. We presen...
متن کاملOpinion Mining in Hungarian based on textual and graphical clues
Opinion Mining aims at recognizing and categorizing or extracting opinions found in unstructured text resources and is one of the most dynamically evolving subdiscipline of Computational Linguistics showing some resemblance to document classification and information extraction tasks. In this paper we propose a novel approach in Opinion Mining which combines Machine Learning models based on trad...
متن کاملWord of Mouth in Online Social Network, Using Twitter to Predict Box Office Revenue
In this paper, we study the economic impact of user generated contents (UGC) in twitter on movies’ box offices. In contrast to other UGC such as online reviews, twitter more truthfully documents a product’s word of mouth (WOM) among ordinary consumers. We develop a new text mining technique to extract and analyze the movie conversations among twitter users. This mining technique is specially-de...
متن کامل