Blar i NTNU Open på forfatter "Gulla, Jon Atle"
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Representation of Business Processes with Semantic Rule Languages
Liadal, Terese (Master thesis, 2009)Summary. -
Sales prediction in online banking
S. Stenberg, Erlend; Iden, Mathias (Master thesis, 2018)This master thesis seeks to explore how machine learning methods can be applied to predict the customers that are likely to purchase a credit card in Sparebank 1 SMN. The sales prediction problem has many similarities with ... -
Semantic Matching: Dynamic Composition of Matcher Ensembles for Ontology Alignment
Vennesland, Audun (Doctoral theses at NTNU;2020:247, Doctoral thesis, 2020)Semantic matching is a computational process that aims to automatically identify the semantic relationship between elements represented in different graph-like sources. Typically, this is a process that involves human ... -
Semantic Relations in Yahoo! News Search
Evensen, Øyvind Arne (Master thesis, 2007)In this thesis we propose a novel approach were 3 days of raw Yahoo! News search query logs are analyzed to find semantic relations among queries. The analysis is based on two independent contributions. The first use session ... -
Semantic User Behaviour Prediction in Online News - Applying Topic Modeling, Community Detection, and User Modeling for News Recommendation
Kjekstad, Nina; Reknes, Elida Karina (Master thesis, 2018)In recent years, predicting user behaviour has become increasingly important within the news recommendation area. Knowledge of behavioural patterns offers valuable insight for developing efficient and user friendly services, ... -
Semantically Enriched Recommender Systems for Smart Closets
Kolstad, Anders (Master thesis, 2017)With increasingly low prices on clothes and a tremendous interest in fashion, results in that people's wardrobes keep piling up. This causes people to struggle with daily selection of an outfit that includes clothing items ... -
Semantics in Educational Recommender Systems
Vallamkondu, Manasa (Master thesis, 2016)Recommender systems are information filtering systems that rank items according to user interests and preferences. They are widely used on online shopping sites like Amazon and Netflix, but have also become increasingly ... -
Sentiment Analysis
Nordvik, Henrik (Master thesis, 2011)Sentiment analysis is the problem of determining the attitude or feelings atext tries to convey. It has recently received a lot of focus, one reason beingthat the amount of text containing personal opinions has increased ... -
Sentiment Analysis for Financial Applications: Combining Machine Learning, Computational Linguistics, and Statistical Methods for Predicting Stock Price Behavior
Njølstad, Pål-Christian S; Høysæter, Lars Smørås (Master thesis, 2014)In this thesis we use sentiment analysis, a classification task within the field of artificial intelligence, for financial applications. Hereunder, we combine machine learning, computational linguistics, and statistical ... -
Sentiment Analysis in Norwegian Political News - Employing Replicated Methods and Experimental Features to Understand a Complex Domain
Bratlie, Terje; Bakken, Patrik Fridberg (Master thesis, 2016)This thesis employs machine learning in an effort to develop a sentiment analysis engine for the Norwegian political news domain. In combination with computa- tional linguistics and statistics we set out to gain knowledge ... -
Sentiment Analysis in political news in news recommender systems
Harandi, Mahboobeh (Master thesis, 2015)Human beings are always considering the opinions of each other, especially in domains that are related to the business. It has also other applications in social science, psychology and politics. The field of politics is ... -
Sentiment Analysis of Customer Emails Using BERT
Langli, Karoline Lillevestre (Master thesis, 2023)I løpet av de siste årene har språkmodeller blitt veldig populære, og de brukes for øyeblikket til å løse ulike oppgaver innen naturlig språkprosessering (NLP). Mange selskap har store mengder ustrukturert tekst lagret som ... -
Sentiment Analysis of Norwegian Twitter Messages
Øye, John Arne (Master thesis, 2015)Web-Based Social Media (WBSM) have been on the rise for the recent several years, and have subsequently garnered interest from several groups out to proficiently utilize the vast amounts of data found on these sites. ... -
Sequence Input Aggregation
Andersen, Alexander Meldal (Master thesis, 2022)Aggregering av sekvensiell input handler om å redusere et, potensielt veldig stort, sekvensielt datasett til enklere variabler. I industrien, og særlig innen bank og finans, er sekvensielle data veldig vanlige, som gjør ... -
SP-BERT: A Language Model for Political Text in Scandinavian Languages
Doan, Tu My; Kille, Benjamin Uwe; Gulla, Jon Atle (Journal article, 2023)Language models are at the core of modern Natural Language Processing. We present a new BERT-style language model dedicated to political texts in Scandinavian languages. Concretely, we introduce SP-BERT, a model trained ... -
A Survey on Political Viewpoints Identification
Doan, Tu My; Gulla, Jon Atle (Peer reviewed; Journal article, 2022)Political viewpoints identification (PVI) is a task in Natural Language Processing that takes political texts and recognizes the writer’s opinions towards a political matter. PVI reduces the ambiguity in texts by identifying ... -
Tolkning av fotballreferater
Strand, Stian Junge (Master thesis, 2005)Tolkning av fotballreferater er en Diplomoppgave utarbeidet ved NTNU og Institutt for Datateknikk og Informasjonsvitenskap. Oppgaven er gitt av Jon Atle Gulla som også fungerer som veileder. Vi har i dette prosjektet ... -
Towards new privacy regulations in europe: Users' privacy perception in recommender systems
Mohallick, Itishree; De Moor, Katrien; Özgöbek, Özlem; Gulla, Jon Atle (Journal article; Peer reviewed, 2018)Despite the fact that recommender systems are becoming increasingly popular in every aspect of the web, users might hesitate to use these personalization-based services in return of their personal information if they believe ... -
Transformer Pre-Trained Language Models and Active Learning for Improved Blocking Performance in Entity Matching
Folstad, Jon Steinar (Master thesis, 2021)Entitetsgjenkjenning har som mål å redusere entropien mellom to ulike datakilder ved å identifisere hvilke record som refererer til de samme entitetene i virkeligheten. Vanligvis krever mange foreslåtte blokkeringsmetoder ... -
Understanding Organizations’ Adoption of AI Technologies: Challenges, Opportunities and Impact
Holmsen, Theodor L. (Master thesis, 2021)Der hvor mange publiserte verk og forskningsbidrag har lett for å bli påvirket av diverse eksterne krefter, vil en masteroppgave fra NTNU ha fordelen av å representere et akademisk forankret produkt. Denne oppgaven utforsker ...