Modeli strojnog učenja za predviđanje emojija iz teksta

undergraduate thesis

• Title (english): Machine Learning Models for Emoji Prediction from Text
• Author: Gregor Orlić
• Mentor: Jan Šnajder (mentor)
• Committee member: Jan Šnajder (predsjednik povjerenstva)
• Committee member: Mladen Karan (član povjerenstva)
• Committee member: Domagoj Alagić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2018-09-19, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Emojiji su piktogrami koji predstavljaju emocije, ekspresije lica, predmete i pojave. Zahvaljujući društvenim mrežama uporaba emojija je u zadnjih deset godina iznimno porasla. U ovom radu opisan je postupak izrade modela za predviđanje emojija iz teksta, uključujući dohvaćanje i obradu podataka te izradu i evaluaciju više različitih modela strojnog učenja.

Abstract (english)

Emojis are pictographs that are used to describe emotions, facial expressions, objects and more. In the past 10 years emojis have spread thanks to social media. This thesis goes through the process of developing several machine learning models for emoji prediction, including data retrieval, data processing and model evaluation.

• Keywords: emoji; predviđanje; obrada prirodnog jezika; nlp; strojno učenje
• Keywords (english): emoji; prediction; natural language processing; nlp; machine learning
• Language: croatian
• URN:NBN: urn:nbn:hr:168:605837
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 23:31:32