Search results for "Information Retrieval"

Evaluation of an Educational Video Production Environment

2019

In this paper, a cloud-based solution for the easy production and meaningful distribution of video-based learning material is presented and evaluated. Using this system, lecturers can produce video material with their own computers anywhere, at any time. The system enables the production of longer lecture videos as well as short videos, each containing only one of the course's topics. The system also handles video sharing for students automatically in a meaningful way through the course's table of contents. An evaluation of the first production version of the video production and distribution system was carried out by collecting qualitative material from the lecturers and students.

LinkedSaeima: A Linked Open Dataset of Latvia’s Parliamentary Debates

2019

This paper describes the LinkedSaeima dataset that contains structured data about Latvia’s parliamentary debates from 1993 until 2017. This information is published at http://dati.saeima.korpuss.lv as Linked Open Data. It is a part of the Corpus of Saeima (the Parliament of Latvia) released as open data for multidisciplinary research. The data model of LinkedSaeima follows the data structure of the LinkedEP dataset with a few modifications. The dataset is augmented with links to the Wikidata knowledge base that provide additional information about the speakers and named entities mentioned in the corpus.

Synthesis and Photoelectrical Properties of 3-(Diphenylamino)Carbazolyl-Functionalized DMABI Derivatives

2019

A modular approach was used in the synthesis of the 3-(diphenylamino)carbazolyl- functionalized 2-(4-(dimethylamino)benzylidene)-1H-indene-1,3(2H)-dione (DMABI) derivatives. For this purpose, carboxyl functional group was introduced into the framework of DMABI molecule. Additionally, a regioselective method for substitution of carbonyl group of DMABI with dicyanomethylene group was investigated and verified using the heteronuclear multiple bond correlation NMR spectra. Steglich esterification method was used to connect the 3‑(diphenylamino)carbazolyl moiety via an unconjugated spacer. The UV-Vis absorption spectra and molecular energy level data were obtained for the evaluation of the synth…

2020—a year of changes

2020

Comparison of MeSH terms and KeyWords Plus terms for more accurate classification in medical research fields. A case study in cannabis research

2021

Abstract KeyWords Plus and Medical Subject Headings (MeSH) are widely used in bibliometric studies for topic mapping. The objective of this study is to compare the two description systems in documents about cannabis research to find the concordance between systems and establish whether there is neutrality in topic mapping. A total of 25,593 articles from 1970 to 2019 were drawn from Web of Science's Core Collection and Medline and analyzed. The tidytext library, Zipf's law, topic modeling tools, the contingency coefficient, Cramer's V, and Cohen's kappa were used. The results included 10,107 MeSH terms and 28,870 KeyWords Plus terms. The Zipf distribution of the terms was different for each…

A Survey of Multi-Label Topic Models

2019

Every day, an enormous amount of text data is produced. Sources of text data include news, social media, emails, text messages, medical reports, scientific publications and fiction. To keep track of this data, there are categories, key words, tags or labels that are assigned to each text. Automatically predicting such labels is the task of multi-label text classification. Often however, we are interested in more than just the pure classification: rather, we would like to understand which parts of a text belong to the label, which words are important for the label or which labels occur together. Because of this, topic models may be used for multi-label classification as an interpretable mode…

Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis

2020

With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages. As a result, users often find it challenging to discover useful information or more on the topic being discussed from such content. Machine learning and natural language processing algorithms are used to analyze the massive amount of textual social media data available online, including topic modeling techniques that have gained popularity in recent years. This paper investigates the topic modeling subject and its common application areas, methods, and tools. Also, we examine and compare five frequen…

Genocide, torture, and terrorism: ranking international crimes and justifying humanitarian intervention

2018

Challenges of tourism development in winter sports destinations and for post-event tourism marketing: the cases of the Ramsau Nordic Ski World Champi…

2013

Previous research on winter sport destinations which have hosted big sport events suggested that there is a gap between the relevance of the systematic considerations of the specific challenges of tourism destination marketing and common practice. The study therefore investigates through individual interviews with key stakeholders (1) the level of agreement with central theoretical statements among stakeholders and key decision-makers at the Austrian destinations Ramsau (a traditional Nordic destination) and St Anton (a traditional Alpine destination) and (2) the relevance of this knowledge to the practical work of the key decision-makers at the destinations. The results show that there is …

Multimodal Perspective into Teachers’ Definitional Practices: Comparing Subject-Specific Language in Physics and History Lessons

2021

This chapter compares two teachers’ definitional practices in two Content-and-Language-Integrated-Learning (CLIL) lessons, i.e. physics and history, which are taught in English in Finland. It adopts Dalton-Puffer’s (Eur J Appl Linguistics 1(2):216–253, 2013; Cognitive discourse functions: specifying an integrative interdisciplinary construct. In: Nikula T, Dafouz E, Moore P, Smit U (eds) Conceptualising integration in CLIL and multilingual education. Bristol: Multilingual Matters, pp. 29–54, 2016) theoretical construct of cognitive discourse functions (CDF) and showcases how it can be operationalized with empirical grounding. Multimodal conversation analysis (CA) is used to trace and observ…