Social media has been getting more and more attention from common users as well as businesses. Although the level of social media adoption varies by sector and geographical location, all companies strive to understand which social media platforms adopt and how to effectively use them. There is a specific position for the winery sector, which is widely recognised as traditional. However, more and more people search for information, share information and purchase goods or services online, which made presence on social media inevitable even for wineries. There is a body of literature concerning wineries' social media adoption and usage, however there is none of such kind to be found in the Czech Republic. Thus, this paper's aim is to fill this gap and to find out to what extent do Czech wineries use social media and why. This paper investigates 96 responses from wineries from all regions of the Czech Republic. The evidence is that the common communication channels of Czech wineries are rather traditional, being it personal communication, email or phone. However, the level of social media adoption in comparison with Australia, Germany or New Zealand is rather high. Although Czech wineries value social media, there is a significant lack of knowledge in how to use them efficiently.

In this thesis, we have studied the problem of detecting automated Twitter accounts related to the Ukraine conflict using supervised learning. A striking problem with the collected data set is that it was initially lacking a ground truth. Traditionally, supervised learning approaches rely on manual annotation of training sets, but it incurs tedious work and becomes expensive for large and constantly changing collections. We present a novel approach to synthetically generate large amounts of labeled Twitter accounts for detection of automation using a rule-based classifier. It significantly reduces the effort and resources needed and speeds up the process of adapting classifiers to changes in the Twitter-domain. The classifiers were evaluated on a manually annotated test set of 1,000 Twitter accounts. The results show that rule-based classifier by itself achieves a precision of 94.6% and a recall of 52.9%. Furthermore, the results showed that classifiers based on supervised learning could learn from the synthetically generated labels. At best, the these machine learning based classifiers achieved a slightly lower precision of 94.1% compared to the rule-based classifier, but at a significantly better recall of 93.9% / Detta exjobb har undersökt problemet att detektera automatiserade Twitter-konton relaterade till Ukraina-konflikten genom att använda övervakade maskininlärningsmetoder. Ett slående problem med den insamlade datamängden var avsaknaden av träningsexempel. I övervakad maskininlärning brukar man traditionellt manuellt märka upp en träningsmängd. Detta medför dock långtråkigt arbete samt att det blir dyrt förstora och ständigt föränderliga datamängder. Vi presenterar en ny metod för att syntetiskt generera uppmärkt Twitter-data (klassifieringsetiketter) för detektering av automatiserade konton med en regel-baseradeklassificerare. Metoden medför en signifikant minskning av resurser och anstränging samt snabbar upp processen att anpassa klassificerare till förändringar i Twitter-domänen. En utvärdering av klassificerare utfördes på en manuellt uppmärkt testmängd bestående av 1,000 Twitter-konton. Resultaten visar att den regelbaserade klassificeraren på egen hand uppnår en precision på 94.6% och en recall på 52.9%. Vidare påvisar resultaten att klassificerare baserat på övervakad maskininlärning kunde lära sig från syntetiskt uppmärkt data. I bästa fall uppnår dessa maskininlärningsbaserade klassificerare en något lägre precision på 94.1%, jämfört med den regelbaserade klassificeraren, men med en betydligt bättre recall på 93.9%.

The diploma thesis deals with labour market issues in relation to a selected group of self- employed persons during the coronavirus crisis of 2020. The main goal of the thesis deals with mapping and comparing the change of approach to self-employment during the coronavirus crisis from perspective of the theory of social construction of target populations by Ingram and Schneider. The main goal of the thesis was supplemented by four research questions that deal with the transformation of the social structure of the self-employed during a pandemic, the resulting policy, the tools used in employment policy and the variability of topics that appeared in the media in relation to self-employment. In the introduction, the reader gets acquainted with the development of the researched issues, statistics and the main theories and concepts that have been used. The second part describes the methodology of the work, such as research methods and data analysis. Following this, the work presents the results of the analysis of events, where was created a timeline of the development of selected measures. The analysis is supplemented by transcripts of stenographic records from the Chamber of Deputies of the Parliament of the Czech Republic and also by a closer insight into the compensation bonus periods and costs that...

General purpose Twitter sentiment analysis is a novel field that is closely related to traditional Twitter sentiment analysis but slightly differs in some key aspects. The main difference lies in the fact that the novel approach considers the unfiltered public Twitter stream while most of the previous approaches often applied various filtering steps which are not feasible for many applications. Another goal is to yield more reliable results by only classifying a tweet as positive or negative if it distinctly consists of the respective sentiment and mark the remaining messages as uncertain. Traditional approaches are often not that strict. Within the course of this thesis it could be verified that the novel approach differs significantly from the traditional approach. Moreover, the experimental results indicated that the archetypical approaches could be transferred to the new domain but the related domain data is consistently sub par when compared to high quality in-domain data. Finally, the viability of the best classification algorithm could be qualitatively verified in a real-world setting that was also developed within the course of this thesis.

La dynamique humaine est un sujet essentiel de l'informatique centrée sur l’homme. Elle se concentre sur la compréhension des régularités sous-jacentes, des relations, et des changements dans les comportements humains. En analysant la dynamique humaine, nous pouvons comprendre non seulement des comportements individuels, tels que la présence d’une personne à un endroit précis, mais aussi des comportements collectifs, comme les mouvements sociaux. L’exploration de la dynamique humaine permet ainsi diverses applications, entre autres celles des services géo-dépendants personnalisés dans des scénarios de ville intelligente. Avec l'omniprésence des smartphones équipés de GPS, les réseaux sociaux de géolocalisation ont acquis une popularité croissante au cours des dernières années, ce qui rend les données de comportements des utilisateurs disponibles à grande échelle. Sur les dits réseaux sociaux de géolocalisation, les utilisateurs peuvent partager leurs activités en temps réel avec par l'enregistrement de leur présence à des points d'intérêt (POIs), tels qu’un restaurant. Ces données d'activité contiennent des informations massives sur la dynamique humaine. Dans cette thèse, nous explorons la dynamique humaine basée sur les données massives des réseaux sociaux de géolocalisation. Concrètement, du point de vue individuel, nous étudions la préférence de l'utilisateur quant aux POIs avec des granularités différentes et ses applications, ainsi que la régularité spatio-temporelle des activités des utilisateurs. Du point de vue collectif, nous explorons la forme d'activité collective avec les granularités de pays et ville, ainsi qu’en corrélation avec les cultures globales / Human dynamics is an essential aspect of human centric computing. As a transdisciplinary research field, it focuses on understanding the underlying patterns, relationships, and changes of human behavior. By exploring human dynamics, we can understand not only individual’s behavior, such as a presence at a specific place, but also collective behaviors, such as social movement. Understanding human dynamics can thus enable various applications, such as personalized location based services. However, before the availability of ubiquitous smart devices (e.g., smartphones), it is practically hard to collect large-scale human behavior data. With the ubiquity of GPS-equipped smart phones, location based social media has gained increasing popularity in recent years, making large-scale user activity data become attainable. Via location based social media, users can share their activities as real-time presences at Points of Interests (POIs), such as a restaurant or a bar, within their social circles. Such data brings an unprecedented opportunity to study human dynamics. In this dissertation, based on large-scale location centric social media data, we study human dynamics from both individual and collective perspectives. From individual perspective, we study user preference on POIs with different granularities and its applications in personalized location based services, as well as the spatial-temporal regularity of user activities. From collective perspective, we explore the global scale collective activity patterns with both country and city granularities, and also identify their correlations with diverse human cultures

Das Projekt „ValidAX - Validierung der Frameworks AMOPA und XTRIEVAL“ untersucht die Möglichkeiten die an der Professur Medieninformatik der TU Chemnitz erstellten Softwareframeworks AMOPA (Automated Moving Picture Annotator) und Xtrieval (Extensible Information Retrieval Framework) in Richtung einer wirtschaftlichen Verwertbarkeit weiterzuentwickeln und in Arbeitsprozesse praktisch einzubinden. AMOPA ist in der Lage, beliebige audiovisuelle Medien zu analysieren und Metadaten wie Schnittgrenzen, Szenen, Personen, Audiotranskriptionen und andere durchzuführen. Xtrieval ist ein hochflexibles Werkzeug, welches die Recherche in beliebigen Medien optimal ermöglicht. Für die Durchführung des Projekts wurden insgesamt drei mögliche Einsatzszenarien definiert, in denen die Frameworks unterschiedlichen Anforderungen ausgesetzt waren: - Archivierung - Interaktives und automatisiertes Fernsehen - Medizinische Videoanalysen Entsprechend der Szenarien wurden die Frameworks optimiert und technische Workflows konzipiert und realisiert. Demonstratoren dienen zur Gewinnung weiterer Verwertungspartner.:I. Kurzdarstellung 2 1. Aufgabenstellung 2 2. Voraussetzungen, unter denen das Vorhaben durchgeführt wurde 3 3. Planung und Ablauf des Vorhabens 4 4. Wissenschaftlicher und technischer Stand, an den angeknüpft wurde 6 5. Zusammenarbeit mit anderen Stellen 7 II. Eingehende Darstellung 7 1. Verwendung der Zuwendung und des erzielten Ergebnisses im Einzelnen 7 AB 1: Flexible Mediatranskodierung für den Transport audiovisueller Medien 7 AB 2: Archivierungsstraße 13 AB 3: Workflowintegration 18 AB 4: Annotationsunterstützung 27 AB 5: Bilderkennung 33 AB 6: Web-Services 40 AB 7: Parallelverarbeitung 41 2. Wichtigste Positionen des zahlenmäßigen Nachweises 43 3. Notwendigkeit und Angemessenheit der geleisteten Arbeit 45 4. Voraussichtlicher Nutzen, insbesondere der Verwertbarkeit des Ergebnisses im Sinne des fortgeschriebenen Verwertungsplans 46 5. Während der Durchführung des Vorhabens dem ZE bekannt gewordenen Fortschritts auf dem Gebiet des Vorhabens bei anderen Stellen 48 6. Erfolgte oder geplante Veröffentlichungen der Ergebnisse 48 / The project "ValidAX - Validation of the frameworks AMOPA and XTRIEVAL" examines the possibilities of developing the software framework AMOPA (Automated Moving Picture Annotator) and Xtrieval (Extensible Information Retrieval Framework) towards a commercial usage. The frameworks have been created by the Chair Media Informatics at the TU Chemnitz. AMOPA is able to analyze any audiovisual media and to generate additional metadata such as scene detection, face detection, audio transcriptions and others. Xtrieval is a highly flexible tool that allows users to search in any media. For the implementation of the project a total of three possible scenarios have been defined, in which the frameworks were exposed to different requirements: • Archiving • Interactive and automated TV • Medical video analysis According to the scenarios, the frameworks were optimized and designed and technical workflows were conceptualized and implemented. Demonstrators are used to obtain further commercialization partner.:I. Kurzdarstellung 2 1. Aufgabenstellung 2 2. Voraussetzungen, unter denen das Vorhaben durchgeführt wurde 3 3. Planung und Ablauf des Vorhabens 4 4. Wissenschaftlicher und technischer Stand, an den angeknüpft wurde 6 5. Zusammenarbeit mit anderen Stellen 7 II. Eingehende Darstellung 7 1. Verwendung der Zuwendung und des erzielten Ergebnisses im Einzelnen 7 AB 1: Flexible Mediatranskodierung für den Transport audiovisueller Medien 7 AB 2: Archivierungsstraße 13 AB 3: Workflowintegration 18 AB 4: Annotationsunterstützung 27 AB 5: Bilderkennung 33 AB 6: Web-Services 40 AB 7: Parallelverarbeitung 41 2. Wichtigste Positionen des zahlenmäßigen Nachweises 43 3. Notwendigkeit und Angemessenheit der geleisteten Arbeit 45 4. Voraussichtlicher Nutzen, insbesondere der Verwertbarkeit des Ergebnisses im Sinne des fortgeschriebenen Verwertungsplans 46 5. Während der Durchführung des Vorhabens dem ZE bekannt gewordenen Fortschritts auf dem Gebiet des Vorhabens bei anderen Stellen 48 6. Erfolgte oder geplante Veröffentlichungen der Ergebnisse 48

The rapid development and disitribution of COVID-19 vaccines have sparked diverse public reactions globally, often reflected through social media platförms like Twitter. This study aims to analyze the sentiment andd public discourse surrounding COVID-19 vaccines on Twitter, utilizing advanced text classification techniques to navigare the vast, unstructured nature of sicial media dfata. By implementing sentiment analysis, the research categoizes tweets into positive, negative, and neutral sentiments to gauge public opinion more effectively. In-depth analysis thorugh topic modelingtecniques helped identify seven key topicvs influencing public sentiment including aspects related to efficiacy, logisticl challenges, safety concens, and personal experiences, each varying in prominence depending on the country, as well as the specific timeline of vaccine deployment. Additionally, this study explorers geographical variations in sentiment, notig significant differences in public opinion across different countries. These variations could be tied to local cultural, social, and political contexts. Reults from this study show a polarized response towards vaccination, with significant discourse clusers showing either strong supprt for or resistance against the COVID-19 vaccination efforts. This polarization is further pronounced by the logistical challenges and trust issues related to vaccine science, particularly emphasized in tweets from couintries with lower vaccine acceptance rates. This sentiment analysis on Twitter offers valuable insights into the public's perception and acceptancce of COVID-19 vaccines, providing a useful tool for policymakers and public health officials to understand and address publiv concerns effectively. By identifying and understanding the key factors influencing vaccine sentiment, tageted communication strategies can be developed to enhance publiv engagement and vaccine uptake.

This study sought to examine linguistic and discursive strategies used to construct messages reflective of the implementation of the HIV and AIDS policy for Zimbabwe of 1999 by government and private newspapers. Such analysis was perceived to be important since media content has a bearing on Zimbabweans‘ perception and attitudes regarding HIV and AIDS prevention, treatment and control. The study was aimed at comparing messages from newspapers with views by the people of Zimbabwe regarding the implementation of the policy. Findings reveal that empowerment programmes particularly those targeting women and children are lagging behind as Zimbabweans, literature and newspaper data sources testify. In addition, information sources concur that cultural (For example, stigmatisation, polygamy, religious practices, spouse inheritance) and structural (For example, patriarchy, masculinity, bureaucracy, politics) are stumbling blocks that negatively affect the implementation of the policy. Further, even though private and government newspapers do not fully agree on the portrayal of human agents, there is a general consensus between newspaper reports and Zimbabweans that people still face socio-economic and econo-political challenges that militate against the smooth implementation of the HIV and AIDS policy. Government newspapers tend to downplay aspects which reveal inadequacies of government activities. The study notes this as betrayal of use of ideological squares both by government and private newspapers whereby certain aspects regarding the implementation of the policy are either downplayed or highlighted to influence perception. The study reveals that newspaper reports used nominalisation, quantification, positive politeness, thematisation, rhematisation, intertextuality, euphemism, proverbs, idioms, action verbs, metaphors and citation of experts as linguistic and discursive strategies both for agenda setting and building purposes regarding the implementation of the HIV and AIDS policy. Other devices used particularly in the encoding of Operation Murambatsvina are, claptraps, deictic referencing, personal pronouns, adjectives and direct speech. The study attributes problems regarding the Zimbabwean HIV and AIDS intervention model to the top – down approach inherent in the policy. Hence, the call for an adoption of an unhu/hunhu/ubuntu inspired bottom – up HIV and AIDS intervention model in Zimbabwe. This would inculcate pro-family, pro-village, pro-nation/people and ―servant leadership‖ (Mangena and Chitando, 2011) values in the fight against the pandemic through the embracing of Indigenous Knowledge Systems (IKS). Unfortunately, such values largely continue to elude the radar of the current top – down HIV and AIDS intervention model cuurently in use in Zimbabwe. / African Languages / D. Litt et Phil. (African Languages)

The thesis was chosen on the basis of the continuation of the bachelor´s work. This thesis is focused on the literature search of problems of the conflicts between the protection of cormorants and the interest of fishery, further on the media analysis in the Czech Republic and finally on the processing of opinions of various groups of respondents (holidaymakers in the area called ´Třeboňsko´ and Czech fishermen). The opinions of questioned people were obtained from controlled interviews written down and processed in the questionnaires. The available information shows that a number of the protected cormorants is increasing not only in the Czech Republic but all over the world. The increase of the number of cormorant population causes problems especially to fishery, because cormorants cause the damage by catching fish stock. These conflicts in the problem area are mostly promoted in the media. In the problem area there are important opinions of the key groups of inhabitants. Groups of questioned people demonstrated their knowledge: holidaymakers in the area called ´Třeboňsko´ have basic knowledge in cormorants and problems caused by cormorants. On the contrary, fishermen are well-informed about the problem. The fishermen are more interested in the problem. Media are very important for solving conflicts and forming opinions of various groups of people. Media analysis showed that most spokesmen, who initiated writing newspaper articles were just fishermen. Therefore the articles on the cormorants are negative and without opinions on the spokesmen as member of general public or academics. Results of the sociological analysis have feed back on the results of the media analysis. It was found out that in the Czech Republic there had not been drawn up any management of fish protection againts cormorants. That is why I prefer to suggest the management in the near future. I recommend to follow the existing foreign management, forexample, in Great Britain. Further, I propose to change the Czech legislation for lower payment of the compensation for the damage caused by cormorants.

L’objectif de cette recherche en linguistique de corpus est d’appliquer, suivant les concepts et principes de la sémantique interprétative, une méthode d’analyse contrastive de textes pour l’apprentissage de la langue arabe, en utilisant l’outil de textométrie Lexico 3. Cette étude se base sur deux corpus : l’un de discours journalistiques (thème des révolutions arabes de 2011), et l’autre de discours politiques (de Gamal Abdel Nasser et Anouar Sadate). Nous posons l’hypothèse que, d’une part, la sémantique outillée permet de caractériser les orientations idéologiques et politiques des différents énonciateurs. D’autre part, nous supposons que les analyses permettront de proposer des pistes didactiques applicables dans le cadre d’un apprentissage de la langue arabe, et en particulier pour la compréhension et la production écrites.La première partie de cette étude présente la linguistique de corpus, situe et décrit la sémantique des textes dans les sciences du langage et expose quelques caractéristiques de la langue arabe. La deuxième partie présente nos analyses de textes journalistiques et politiques et met en évidence, les positions des journaux vis-à-vis des révolutions en Égypte et au Bahreïn et expose, les différences d’énonciation des deux présidents égyptiens sur les politiques conduites en Égypte et dans le monde arabe.La troisième et dernière partie présente le volet théorique et pratique de nos pistes didactiques. Elle ancre notre positionnement sur l’interdisciplinarité, en faisant appel au paradigme des "connaissances" (qui se distingue de la notion de "compétence") en didactique des langues. Cette partie décrit, enfin, l’expérimentation avec sept étudiants de langue arabe. Elle montre les difficultés et les apports de cette expérimentation et montre qu’il est possible de penser un processus de conscientisation vis-à-vis des données langagières, qui doit, en outre, marquer une rupture avec la simple transmission d’informations à l’apprenant. / The purpose of this research in corpus linguistics is to apply, in accordance with the concepts and principals of interpretive semantics, a method of contrastive analysis of texts for learning Arabic using the Textometry tool Lexico 3. It is based on two corpora: a journalistic discourse (from Arab revolutions of 2011), and political speeches (from Gamal Abdel Nasser and Anwar Sadat). We postulate that the Corpus Semantics allows us to characterize the ideological and political orientation of the different enunciators. Furthermore we assume that the study will provide practical didactic approaches in the context of learning the Arabic language, in particular for the understanding and writing learning.The first part of this study presents the Corpus Linguistics, situates and describes the Interpretive Semantics theory in the linguistics field and shows some characteristics of the Arabic language. The second part presents our analyses of journalistic and political texts, highlighting the stance of newspapers on the revolutions in Egypt and Bahrain and exposes the differences in articulation between two Egyptian presidents regarding their policies in Egypt and in the Arab world.The third and last part presents the theoretical and practical component of our educational tracks. It anchors our work on the interdisciplinarity by drawing on the paradigm of "knowledge" in language teaching (which is distinct from the notion of "competence"). This section describes the experiment with seven students of Arabic. It shows the difficulties and the benefits of this experiment and demonstrates that it is possible to think of a process of awareness in regards to the language data, which must, amongst other points, mark a break from the simple transmission of information to the learner.