Univerza na Primorskem Fakulteta za matematiko, naravoslovje in informacijske tehnologije
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Ponedeljkov seminar računalništva in informatike - Arhiv

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petek, 25. september 2020 Sead JAHIĆ: Handling tweet opinion by using weighted lexicon and lexicon-based approach

V ponedeljek, 28. septembra 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 28. september 2020 ob 16.00 na daljavo

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PREDAVATELJ: Sead JAHIĆ
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Sead Jahić is a teaching assistant at University of Primorska, Department of Information Sciences and Technologies.
After receiving High School diploma, he went to University of Tuzla (UNTZ), where in 2012 he graduated as Mathematician (Math Teacher).
His first working experience was teaching assistant at UNTZ, in the field of Applied Mathematics and Computer Science.
The main topic of his research is Sentiment Analysis of languages, where the focus is on developing overall sentiment analysis for West Balkan languages from the same West Slavic group.
The idea is to use different Machine Learning and Deep Learning techniques in sentiment analysis with those languages, and show huge connectivity between them.

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NASLOV: Handling tweet opinion by using weighted lexicon and lexicon-based approach
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POVZETEK:

In this seminar, we will present an introduction to creating a lexicon with weight values of words from our database. Given that the lexicon is made in such a way that the amount / number of positive and negative words affects the final outcome, we come to the conclusion that at some point, especially in neutral sentiment, we have words whose power can change the polarity of neutral to positive / negative. Therefore, when calculating sentiment, we relied on the weight lexicon created for a given amount of data.

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Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni! 


torek, 22. september 2020 Patrik KOCJANČIČ: Primerjava vnosa besedila v virtualnem okolju na različnih postavitvah tipkovnice

Tokrat, izjemoma v četrtek, 24. septembra 2020, bo ob 10.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 24. september 2020 ob 10:00 na daljavo

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PREDAVATELJ: Patrik KOCJANČIČ
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Patrik Kocjančič je študent magistrskega študijskega programa Računalništvo in informatika na UP-FAMNIT. Trenutno se ukvarja z magistrskim delom, v katerem skuša najti optimalno rešitev (postavitev tipkovnice) za vnos besedila v virtualnem okolju.

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NASLOV: Primerjava vnosa besedila v virtualnem okolju na različnih postavitvah tipkovnice
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POVZETEK:

Vnos besedila je precej raziskano področje tako v realnem svetu kot tudi v virtualnem svetu. Raziskovalci preučujejo različne načine vnosa besedila bodisi tip vnosa bodisi vnos na različnih postavitvah tipkovnice.  V tem seminarju bomo predstavili področje tehnologije VR, pripravo virtualnega okolja, študijo, ki je potekala v okviru magistrskega dela  ter rezultate le-te. Cilj študije je bil preizkusiti različne postavitve tipkovnice in le-te primerjati s standardom QWERTZ. Testirali smo 4 različne postavitve tipkovnice, to so: QWERTZ, DVORAK, OPTI in CIRCLE. Na koncu bo potekala še krajša razprava o rezultatih in kakšna možna izboljšava oz. predlogi pri izvedbi nadaljnjih študij.

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Predavatelj bo svoj prispevek predstavil v okviru Raziskovalnega seminarja na magistrskem študijskem programu Računalništvo in informatika.

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni! 


sobota, 19. september 2020 Jordan Aiko DEJA: Revisiting AR Piano Projection

V ponedeljek, 21. septembra 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno 
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 21. september 2020 ob 16.00 na daljavo

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PREDAVATELJ: Jordan Aiko DEJA
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Jordan Aiko Deja is a PhD student from UP FAMNIT, working on computational interactions and adaptive visualizations on music learning. He is part of the HICUP Lab Research group led by Dr Matjaž Kljun. Prior to that, he earned his bachelor's and master's degree in Computer Science from De La Salle University in Manila, Philippines.

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NASLOV: Revisiting AR Piano Projection
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POVZETEK: 

For around 300 years, people have been learning to play the modern piano either with a teacher or by themselves. In recent years, teaching and learning have been enhanced using computer-based technologies to support novices during this process. In this seminar, we present the results of a recent systematic literature review that reveal enhancements using Augmented Reality (AR) in teaching the piano. Different modalities to support teaching and learning the piano were also explored using focus groups. This presentation involves findings in the early stages of a PhD thesis. The different phases and future work will also be discussed.

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Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni!


petek, 11. september 2020 Jamolbek MATTIEV: Distance based Clustering of Class Association Rules to Build a Compact, Accurate and Descriptive Classifier

V ponedeljek, 14. septembra 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 14. september 2020 ob 16.00 na daljavo

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PREDAVATELJ: Jamolbek MATTIEV
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Jamolbek Mattiev has a Master degree in Computer Science from National University of Uzbekistan. He was awarded with first degree diploma at “the best Master Dissertation Work of Uzbekistan” competition in his master studies. He is a Teaching Assistant at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies and he is final year PhD student at the Department of Information Sciences and Technologies.

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NASLOV: Distance based Clustering of Class Association Rules to Build a Compact, Accurate and Descriptive Classifier
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POVZETEK:

In this research work, we propose new methods that are able to reduce the number of class association rules produced by “classical” class association rule classifiers, while maintaining an accurate classification model that is comparable to the ones generated by state-of-the-art classification algorithms. More precisely, we propose new associative classifiers, called DC, DDC and CDC, that use distance-based agglomerative hierarchical clustering as a post-processing step to reduce the number of its rules, and in the rule-selection step, we use different strategies (based on database coverage and cluster centers) for each algorithm.

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Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni!


sreda, 9. september 2020 Sead JAHIĆ: Determining sentiment of tweets using first Bosnian lexicon and (AnA)-affirmative and non-affirmative words

Tokrat, izjemoma v četrtek, 10. septembra 2020, bosta ob 10.00 uri prek spletnih orodij na daljavo izvedeni dve predavanji v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 10. september 2020

1. predavanje bo ob 10.00:
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PREDAVATELJ: Nikola MARIN
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Nikola Marin is a MSc student of Computer Science at UP FAMNIT. He recently became interested in the business application industry and explores business application design and development.

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NASLOV: Enterprise Resource Planning (ERP) System for Subcontractors of Telekom Slovenije
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POVZETEK:

Telekom Slovenije has many subcontractors supporting their infrastructure and installations. Those subcontractors are small and medium-size businesses who are using just email and a Microsoft Office package for their e-business. Because of that, they experience data loss, misunderstandings, human errors and non-optimal business. Based on previous research where business process analysis, ERP implementation technologies and methodologies were explored, this seminar aims to analyse business processes inside Telekom Slovenije subcontractor companies and to propose a conceptual model of ERP system that could fit and provide optimal business in the long run for such companies.

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The seminar presentation will be part of the Research Seminar on the Computer Science Masters Program.

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2. predavanje bo ob 10.30:
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PREDAVATELJ: Sead JAHIĆ
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Sead Jahić is a teaching assistant at University of Primorska, Department of Information Sciences and Technologies.
After receiving High School diploma, he went to University of Tuzla (UNTZ), where in 2012 he graduated as Mathematician (Math Teacher).
His first working experience was teaching assistant at UNTZ, in the field of Applied Mathematics and Computer Science.
The main topic of his research is Sentiment Analysis of languages, where the focus is on developing overall sentiment analysis for West Balkan languages from the same West Slavic group.
The idea is to use different Machine Learning and Deep Learning techniques in sentiment analysis with those languages, and show huge connectivity between them.

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NASLOV: Determining sentiment of tweets using first Bosnian lexicon and  (AnA)-affirmative and non-affirmative words
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POVZETEK:

The talk will present a simple model for sentiment tagging of Tweeter messages based on AnA (affirmative and non-affirmative) words and tagged sentiment dictionary (Kadunc-Šikonja dictionary).
Lexicon was used in combination with intensifiers, where intensifier (AnA word), that stand next to the word, produce more powerful (more positive or more negative) sentiment value of word - tweet at all.
This also presents our first step in creating the first Bosnian lexicon and proceed the same on Sentiment analysis of tweets written in Bosnian where the major topic will be tweeting about Bosnian National basketball player Džanan Musa.

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Predavanji bosta potekali v angleškem jeziku prek spletnega orodja Zoom.
Do predavanj dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni!