Call for Papers:Vol.12 Issue.1

Submission
Last date		 28-Feb-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-1. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Deep Learning and Sentiment Analysis-Based Prediction of Cryptocurrency Prices (DL-GuesS)
PaperId: :  21122
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 4 2023
DUI:    16.0415/IJARIIE-21122
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Pooja.R.PatilAMC Engineering College Bengaluru
prof.Sravanthi kalaLAMC Engineering College Bengaluru

Abstract

MCA
emotion recognition, digital assets,microblogging site,LSTM,GRU, The digital currency
Abstract— Over the past few years, social media use has grown considerably. People utilize the social media platforms on the internet to share their thoughts on a wide range of subjects. The views are presented in a variety of ways, including including blogs, tweets, Facebook postings, online forums, Instagram posts, etc. The act of computationally describing and categorising the opinions stated in the remark, stake, or paper is known such as sentiment evaluation. Trend analysis typically seeks to understand how consumers feel about something particular. Opinion mining has become difficult due about the overabundance of user-generated material on social media. Twitter is used to gather opinions about products, trends, and politics as a microblogging site. The market for cryptocurrencies increased at an unprecedented rate during past several months. Similar to traditional cash, virtual payments for goods and services are made with the help of no centralised authority with bitcoin. Although cryptocurrencies use secure technology to secure genuine and unique operations, this industry is still in its infancy, and significant concerns were highlighted. concerning its use. To get an overall picture of how people feel about digital assets, sentiment analysis is particularly necessary. This research makes use of We perform analyze sentiment and sense of emotion on comments concerning cryptocurrencies, which can be utilized to estimate market prices for digital assets.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Pooja.R.Patil, and prof.Sravanthi kalaL. "Deep Learning and Sentiment Analysis-Based Prediction of Cryptocurrency Prices (DL-GuesS)" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 4 2023 Page 689-693
MLA Pooja.R.Patil, and prof.Sravanthi kalaL. "Deep Learning and Sentiment Analysis-Based Prediction of Cryptocurrency Prices (DL-GuesS)." International Journal Of Advance Research And Innovative Ideas In Education 9.4(2023) : 689-693.
APA Pooja.R.Patil, & prof.Sravanthi kalaL. (2023). Deep Learning and Sentiment Analysis-Based Prediction of Cryptocurrency Prices (DL-GuesS). International Journal Of Advance Research And Innovative Ideas In Education, 9(4), 689-693.
Chicago Pooja.R.Patil, and prof.Sravanthi kalaL. "Deep Learning and Sentiment Analysis-Based Prediction of Cryptocurrency Prices (DL-GuesS)." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 4 (2023) : 689-693.
Oxford Pooja.R.Patil, and prof.Sravanthi kalaL. 'Deep Learning and Sentiment Analysis-Based Prediction of Cryptocurrency Prices (DL-GuesS)', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, 2023, p. 689-693. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Deep_Learning_and_Sentiment_Analysis_Based_Prediction_of_Cryptocurrency_Prices__DL_GuesS__ijariie21122.pdf (Accessed : ).
Harvard Pooja.R.Patil, and prof.Sravanthi kalaL. (2023) 'Deep Learning and Sentiment Analysis-Based Prediction of Cryptocurrency Prices (DL-GuesS)', International Journal Of Advance Research And Innovative Ideas In Education, 9(4), pp. 689-693IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Deep_Learning_and_Sentiment_Analysis_Based_Prediction_of_Cryptocurrency_Prices__DL_GuesS__ijariie21122.pdf (Accessed : )
IEEE Pooja.R.Patil, and prof.Sravanthi kalaL, "Deep Learning and Sentiment Analysis-Based Prediction of Cryptocurrency Prices (DL-GuesS)," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, pp. 689-693, Jul-Aug 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Deep_Learning_and_Sentiment_Analysis_Based_Prediction_of_Cryptocurrency_Prices__DL_GuesS__ijariie21122.pdf [Accessed : ].
Turabian Pooja.R.Patil, and prof.Sravanthi kalaL. "Deep Learning and Sentiment Analysis-Based Prediction of Cryptocurrency Prices (DL-GuesS)." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 4 ().
Vancouver Pooja.R.Patil, and prof.Sravanthi kalaL. Deep Learning and Sentiment Analysis-Based Prediction of Cryptocurrency Prices (DL-GuesS). International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(4) : 689-693. Available from: https://ijariie.com/AdminUploadPdf/Deep_Learning_and_Sentiment_Analysis_Based_Prediction_of_Cryptocurrency_Prices__DL_GuesS__ijariie21122.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Unsupervised Contribution-Oriented Learning Model for Social Influence DetectionComputer EngineeringSnehal Mahjaan Download
DESIGN AND IMPLEMENTATION OF A BLUETOOTH-CONTROLLED ROBOTIC CAR USING ARDUINOComputer Mr. Swapnil Sanjay Bafana Download
AI-DRIVEN DEEPFAKE IDENTIFICATION IN REAL TIMEComputer EngineeringPavan Gajanan Bhonde Download
RESQ-BOTComputer Engineering Tiparkar Prathamesh Navnath Download
A Critical Review and Modern Contextualization of the 2009 Distributed Real-Time Computer Network Architecture (DRNA)Computer EngineeringNandishwar EN Download
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
Crop Disease Detectioncomputer Mansi Sunil Sansare Download
NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNINGComputer ScienceGuruprasad K Download
GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceRajshekar G Download
GEN-AI POWERED LIVER-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceDhananjay M Download
12