<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Radka Nacheva</style></author><author><style face="normal" font="default" size="100%">Adam Stecyk</style></author><author><style face="normal" font="default" size="100%">Pavel Petrov</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Accessibility Heuristic Evaluation of Bulgarian and Polish Academic Web Sites: Visually Impaired Users' Perspective</style></title><secondary-title><style face="normal" font="default" size="100%">DIGILIENCE 2020</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2020</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Accessibility issues are actively involved in the field of information and communication technologies. To improve human-machine interfaces, it is necessary to study the specifics of the interactions of people with special needs, including to improve their security of access to various digital re-sources. Thanks to the state of the art, people with disabilities have wide access to the Internet, including educational resources. The aim of this paper is to propose an approach for the heuristics evaluation of web accessibility based on the analytic hierarchy process (AHP) method. As there are many groups of people with disabilities, to narrow the scope of this study, we turn our attention to the perspective of the visually impaired users. To approve the approach, the authoring team applies it using Bulgarian and Polish academic websites.&lt;/p&gt;&lt;p&gt;This paper is included in the program of the Second Scientific Conference &amp;quot;Digital Transformation, Cyber Security and Resilience &lt;a href=&quot;https://digilience.org/content/digilience-2020-program&quot;&gt;DIGILIENCE 2020&lt;/a&gt; and will be published in the post-conference volume.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Radka Nacheva</style></author><author><style face="normal" font="default" size="100%">Snezhana Sulova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Research on the Overall Attitude Towards Mobile Learning in Social Media: Emotions Mining Approach</style></title><secondary-title><style face="normal" font="default" size="100%">DIGILIENCE 2019</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">emotions mining</style></keyword><keyword><style  face="normal" font="default" size="100%">higher education</style></keyword><keyword><style  face="normal" font="default" size="100%">mobile learning</style></keyword><keyword><style  face="normal" font="default" size="100%">social media</style></keyword><keyword><style  face="normal" font="default" size="100%">text mining</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2-4 October</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Sofia, Bulgaria</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In this paper, we address the importance of classification and social media mining of human emotions. We compared different theories about basic emotions and the application of emotion theory in practice. Based on Plutchik&amp;#39;s classification, we suggest creating a specialized lexicon with terms and phrases to identify emotions for research of general attitudes towards mobile learning in social media. The approach can also be applied to other areas of scientific knowledge that aim to explore the emotional attitudes of users in social media. It is based on the Natural Language Processing and more specifically uses text mining classification algorithms. For test purposes, we have retrieved a number of tweets on users&amp;#39; attitudes towards mobile learning.&lt;/p&gt;&lt;p&gt;This paper is included in the program of &lt;a href=&quot;https://digilience.org&quot;&gt;DIGILIENCE 2019&lt;/a&gt; and will be published in the post-conference volume. In the meantime, you can download the presentation using the link above.&lt;/p&gt;</style></abstract></record></records></xml>