diplomsko delo
Tilen Miklavič (Author), Slavko Žitnik (Mentor)

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.

Keywords

kriptovaluta;kovanec;družbena omrežja;univerzitetni študij;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [T. Miklavič]
UDC: 004:336.74(043.2)
COBISS: 119721219 Link will open in a new window
Views: 27
Downloads: 17
Average score: 0 (0 votes)
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Other data

Secondary language: English
Secondary title: Analysis of the impact of cryptocurrency mentions on their price
Secondary 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.
Secondary keywords: cryptocurrency;coin;social networks;computer science;diploma;Digitalna valuta;Twitter (spletno mesto);Računalništvo;Univerzitetna in visokošolska dela;
Type (COBISS): Bachelor thesis/paper
Study programme: 1000468
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 36 str.
ID: 16279646