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undergraduate thesis
Tweet2Sent: Web aplikacija za vizualizaciju sentimenta iz tvitova
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:722209
Kranjčević, Leon
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Kranjčević, L. (2021). Tweet2Sent: Web aplikacija za vizualizaciju sentimenta iz tvitova (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:722209

Kranjčević, Leon. "Tweet2Sent: Web aplikacija za vizualizaciju sentimenta iz tvitova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:722209

Kranjčević, Leon. "Tweet2Sent: Web aplikacija za vizualizaciju sentimenta iz tvitova." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:722209

Kranjčević, L. (2021). 'Tweet2Sent: Web aplikacija za vizualizaciju sentimenta iz tvitova', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 03 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:722209

Kranjčević L. Tweet2Sent: Web aplikacija za vizualizaciju sentimenta iz tvitova [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 03] Available at: https://urn.nsk.hr/urn:nbn:hr:168:722209

L. Kranjčević, "Tweet2Sent: Web aplikacija za vizualizaciju sentimenta iz tvitova", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:722209

Metadata
TitleTweet2Sent: Web aplikacija za vizualizaciju sentimenta iz tvitova
Title (english)Tweet2Sent: Web application for Visualizing Sentiment from Tweets
AuthorLeon Kranjčević
MentorMarina Bagić Babac (mentor)
Committee memberMarina Bagić Babac (predsjednik povjerenstva)
Committee memberMarko Horvat (član povjerenstva)
Committee memberDragan Jevtić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Društvena mreža Twitter omogućuje korisnicima objavu kratkih tekstualnih poruka – tvitova, što potiče korisnike da objave fokusirane i pravodobne dodatke na prethodne poruke. Iz perspektive analize teksta posebno je izazovan zadatak procijeniti i vizualizirati sentiment za takve kratke i nepotpune isječke teksta. Stoga je cilj ovog završnog rada izraditi web aplikaciju za dohvaćanje i vizualizaciju tvitova koja prikazuje sentiment i emocije iz takvog teksta. Sentiment je potrebno procijeniti metodom temeljenom na označenim leksikonima.
Abstract (english)
Online social network Twitter allows users to upload short text messages - tweets, and this restriction encourages users to construct focused, timely updates. From the perspective of text analysis, it remains a challenging task to estimate and visualize sentiment for such short and incomplete text snippets. The specific goal of this thesis is to develop a web application for tweet retrieval and visualization that presents sentiment and basic emotional properties embodied in the text. Sentiment from text should be estimated using lexicon-based methods.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:722209
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-14 20:51:18