diplomsko delo
Abstract
V diplomskem delu primerjamo slovenske medije s pomočjo analize tematik in sentimenta člankov. Želeli smo analizirati različna stališča medijev do specifičnih političnih dogodkov oziroma tematik. Tematike smo modelirali z modelom LDA, s katerim smo v množici slovenskih člankov poiskali tiste s politično vsebino. Za nalogo zaznavanja sentimenta smo prilagodili model SloBERTa in ga uporabili pri klasifikaciji izbranih člankov v eno izmed treh oznak (pozitivno, nevtralno, negativno). Primerjavo medijev izvedemo na nekaj različnih političnih temah, kjer opazimo nekaj razlik med skupinami medijev. Rezultate predstavimo in izpostavimo nekaj slabosti našega sistema ter podamo predloge za izboljšavo.
Keywords
obdelava naravnega jezika;model BERT;latentna Dirichletova alokacija;modeliranje tematik;detekcija sentimenta;slovenski mediji;računalništvo in informatika;univerzitetni študij;diplomske naloge;
Data
Language: |
Slovenian |
Year of publishing: |
2021 |
Typology: |
2.11 - Undergraduate Thesis |
Organization: |
UL FRI - Faculty of Computer and Information Science |
Publisher: |
[J. Bajt] |
UDC: |
004.8:81'322(043.2) |
COBISS: |
77669123
|
Views: |
369 |
Downloads: |
149 |
Average score: |
0 (0 votes) |
Metadata: |
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Other data
Secondary language: |
English |
Secondary title: |
Topic and sentiment analysis of Slovene media using natural language processing tools |
Secondary abstract: |
We compare topics covered by Slovenian media by analysing sentiment of the articles. We aim to analyse different stances of media towards specific political events or topics. We used LDA model for topic modeling and based on results, we selected articles with political content. For the sentiment analysis task we fine-tuned Slovenian SloBERTa model which we used to classify articles in one of three sentiment labels (positive, neutral, negative). We compare the media on a few political topics, where we notice differences between media. We present the results, highlight weaknesses of our system and suggest improvements. |
Secondary keywords: |
natural language processing;model BERT;latent Dirichlet allocation;topic modeling;sentiment detection;Slovenian media;computer and information science;diploma;Računalniško jezikoslovje;Mediji;Umetna inteligenca;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: |
47 str. |
ID: |
13394699 |