Stilističko modeliranje jezika korisnika na Redditu

master's thesis

• Title (english): Stylistic Language Modeling of Reddit Users
• Author: Fabijan Čorak
• Mentor: Jan Šnajder (mentor)
• Committee member: Jan Šnajder (predsjednik povjerenstva)
• Committee member: Alan Jović (član povjerenstva)
• Committee member: Domagoj Jakobović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-09, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Pitanje koje si ljudi postavljaju jest kako je čovjekovo ponašanje povezano s njegovom naravi. Jedna je manifestacija ponašanja aktivnost na društvenim mrežama. Uz pitanje povezanosti psihologije pojedinca i sadržaja koji objavljuje, ovaj rad dodatno razmatra što se o crtama pojedinca može saznati iz okolina u kojima je aktivan. U slučaju ovoga rada objave na društvenim mrežama su komentari na Redditu, a okoline djelovanja predstavljaju tematske zajednice subredditi. Nakon provođenja analize grupiranja te faktorske i korelacijske analize, konstruirana su dva nova modela za predviđanje crta ličnosti koji se oslanjaju upravo na okolinu u kojoj je korisnik objavio sadržaj. Prvi model aproksimira korisnika preko crta subreddita na kojima je aktivan, dok je drugi nadogradnja prvog i modela najbližih susjeda (KNN). Predviđanja tih modela iskorištena su kao značajke za postojeće modele.

Abstract (english)

The question people have been asking themselves is how human behavior is connected to human nature. One behavioral manifestation is the activity on social media. Apart from the question of how one’s psychology is connected to the content they post, this work also considers what can be said about one’s traits when taking into account what environment the posts have been made in. Specifically for this work, a user’s content is their Reddit comments, and the environments are topic-specific communities called subreddits. After performing cluster, factor, and correlation analysis, two novel models are constructed. The first model approximates a user based on the traits of the subreddits where they are active, while the second model builds upon the first one and the K nearest neighbors model (KNN). The predictions of these models are then used as features for existing models.

• Keywords: strojno učenje; obrada prirodnog jezika; društvena mreža; društveni mediji; Reddit; subreddit; komentar; ličnost; crta; psihologija; big5
• Keywords (english): machine learning; natural language processing; social network; social media; Reddit; subreddit; comment; personality; trait; pscyhology; big5
• Language: croatian
• URN:NBN: urn:nbn:hr:168:113935
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 12:01:42