Forecasting Price of Cryptocurrencies using Tweets Sentiment Analysis

被引：0

作者：

Jain, Arti ^{[1
]}

Tripathi, Shashank ^{[1
]}

Dwivedi, Harsh Dhar ^{[1
]}

Saxena, Pranav ^{[1
]}

机构：

[1] Jaypee Inst Informat Technol, Dept Comp Sci, Noida, Uttar Pradesh, India

来源：

2018 ELEVENTH INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING (IC3) | 2018年

关键词：

bitcoin; cryptocurrency; exchange rates; litecoin; miners; price prediction; twitter;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The problem is to find a method to predict the two-hour price of cryptocurrencies on the basis of the Social Factors, which are increasingly used for online transactions worldwide. The few previous methods proposed to predict price of cryptocurrency are inefficient because they fail to take into consideration the differences in the attributes between real currencies and cryptocurrencies. In this paper, we focus on two cryptocurrencies, namely Bitcoin and Litecoin, each with a large market size and user base, and attempt to predict their future prices using multi-linear regression model.

引用

页码：268 / 274

页数：7

共 50 条

[41] Online Price Forecasting Model using Artificial Intelligence for Cryptocurrencies as Bitcoin, Ethereum and Ripple
Atlan, Furkan
Pence, Ihsan
Cesmeli, Melike Siseci
[J]. 2020 28TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2020,
[42] Sentiment analysis of ISIS related Tweets using Absolute location
Mirani, Tarun B.
Sasi, Sreela
[J]. 2016 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE & COMPUTATIONAL INTELLIGENCE (CSCI), 2016, : 1140 - 1145
[43] Analysis of Tweets with Emoticons for Sentiment Detection Using Classification Techniques
Kaur, Ravneet
Majumdar, Ayush
Sharma, Priya
Tiple, Bhavana
[J]. DISTRIBUTED COMPUTING AND INTELLIGENT TECHNOLOGY, ICDCIT 2023, 2023, 13776 : 208 - 223
[44] Sentiment Analysis on Tweets Using Machine Learning and Combinatorial Fusion
Ondusko, Dominik
Ho, James
Roy, Brandon
Hsu, D. Frank
[J]. IEEE 17TH INT CONF ON DEPENDABLE, AUTONOM AND SECURE COMP / IEEE 17TH INT CONF ON PERVAS INTELLIGENCE AND COMP / IEEE 5TH INT CONF ON CLOUD AND BIG DATA COMP / IEEE 4TH CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/CBDCOM/CYBERSCITECH), 2019, : 1066 - 1071
[45] Evaluating Sentiment Classifiers for Bitcoin Tweets in Price Prediction Task
Balfagih, Ahmed M.
Keselj, Vlado
[J]. 2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2019, : 5499 - 5506
[46] Sentiment Analysis on Naija-Tweets
Kolajo, Taiwo
Daramola, Olawande
Adebiyi, Ayodele
[J]. 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019:): STUDENT RESEARCH WORKSHOP, 2019, : 338 - 343
[47] Annotation of a Corpus of Tweets for Sentiment Analysis
dos Santos, Allisfrank
Barros Junior, Jorge Daniel
Camargo, Heloisa de Arruda
[J]. COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, PROPOR 2018, 2018, 11122 : 294 - 302
[48] Classification of Tweets for sentiment and Trend Analysis
Arulselvi, Christiyana A.
Sendhilkumar, S.
Mahalakshmi, S.
[J]. 2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS), 2017, : 566 - 573
[49] A BERT Framework to Sentiment Analysis of Tweets
Bello, Abayomi
Ng, Sin-Chun
Leung, Man-Fai
[J]. SENSORS, 2023, 23 (01)
[50] Sentiment Analysis on Tweets for Social Events
Zhou, Xujuan
Tao, Xiaohui
Yong, Jianming
Yang, Zhenyu
[J]. PROCEEDINGS OF THE 2013 IEEE 17TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2013, : 557 - 562

← 1 2 3 4 5 →