izpis_h1_title_alt

Analiza vpliva omemb kriptovalut na njihovo ceno
ID MIKLAVIČ, TILEN (Author), ID Žitnik, Slavko (Mentor) More about this mentor... This link opens in a new window

.pdfPDF - Presentation file, Download (5,07 MB)
MD5: 0289ADBA965C6BE2798515A372811C3B

Abstract
V okviru te naloge, sem raziskal, ali javni sentiment na družbenem omrežju Twitter vpliva na gibanje trga kriptovalut. Ta podatek bi lahko navdušenci izkoristili pri svojih analizah. Zbral in analiziral bom podatke za več kriptovalut in jih razvrstil v seznam po odvisnosti od javnega sentimenta. To mi bo pomagalo pri izdelavi napovednega modela, ki bo podajal obvestila o abnormalnih dogodkih na socialnih omrežjih. Uspešen rezultat naloge bo napovedni model, ki bo pravilno in časovno natančno klasificiral dogajanje na družbenem omrežju. V sodelovanju s spletno aplikacijo bi lahko tako uporabnika v realnem času o teh dogodkih obveščal.

Language:Slovenian
Keywords:kriptovaluta, kovanec, družbena omrežja
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2022
PID:20.500.12556/RUL-138969 This link opens in a new window
COBISS.SI-ID:119721219 This link opens in a new window
Publication date in RUL:26.08.2022
Views:788
Downloads:90
Metadata:XML DC-XML DC-RDF
:
Copy citation
Share:Bookmark and Share

Secondary language

Language:English
Title:Analysis of the impact of cryptocurrency mentions on their price
Abstract:
I would like to research whether public sentiment on social media Twitter has any influence on price movement of cryptocurrencies. Enthusiasts could be using this new information in their analysis. In my work, I will collect and analyze data for different cryptocurrencies and order then on the list based on their ability to be influenced. This will help me with developing a prediction model algorithm, which will notify every time it senses abnormal behaviour on social network. Successful result would be prediction model, which correctly and accurately predicts events on social network. Working with web application, it would notify user in real time.

Keywords:cryptocurrency, coin, social network

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Back