Building Multi-Modal Relational Graphs for Multimedia Retrieval

2013 ◽  
pp. 171-192
Author(s):  
Jyh-Ren Shieh ◽  
Ching-Yung Lin ◽  
Shun-Xuan Wang ◽  
Ja-Ling Wu
Keyword(s):  
Social Media ◽  
Web 2.0 ◽  
Real World ◽  
Ad Hoc ◽  
User Studies ◽  
Multimedia Retrieval ◽  
New Approach ◽  
Visualization System ◽  
Relational Graphs ◽  
Media Formats

The abundance of Web 2.0 social media in various media formats calls for integration that takes into account tags associated with these resources. The authors present a new approach to multi-modal media search, based on novel related-tag graphs, in which a query is a resource in one modality, such as an image, and the results are semantically similar resources in various modalities, for instance text and video. Thus the use of resource tagging enables the use of multi-modal results and multi-modal queries, a marked departure from the traditional text-based search paradigm. Tag relation graphs are built based on multi-partite networks of existing Web 2.0 social media such as Flickr and Wikipedia. These multi-partite linkage networks (contributor-tag, tag-category, and tag-tag) are extracted from Wikipedia to construct relational tag graphs. In fusing these networks, the authors propose incorporating contributor-category networks to model contributor’s specialization; it is shown that this step significantly enhances the accuracy of the inferred relatedness of the term-semantic graphs. Experiments based on 200 TREC-5 ad-hoc topics show that the algorithms outperform existing approaches. In addition, user studies demonstrate the superiority of this visualization system and its usefulness in the real world.

Building Multi-Modal Relational Graphs for Multimedia Retrieval

2011 ◽  
Vol 2 (2) ◽  
pp. 19-41
Author(s):  
Jyh-Ren Shieh ◽  
Ching-Yung Lin ◽  
Shun-Xuan Wang ◽  
Ja-Ling Wu
Keyword(s):  
Social Media ◽  
Web 2.0 ◽  
Real World ◽  
Ad Hoc ◽  
User Studies ◽  
Multimedia Retrieval ◽  
New Approach ◽  
Visualization System ◽  
Relational Graphs ◽  
Media Formats

The abundance of Web 2.0 social media in various media formats calls for integration that takes into account tags associated with these resources. The authors present a new approach to multi-modal media search, based on novel related-tag graphs, in which a query is a resource in one modality, such as an image, and the results are semantically similar resources in various modalities, for instance text and video. Thus the use of resource tagging enables the use of multi-modal results and multi-modal queries, a marked departure from the traditional text-based search paradigm. Tag relation graphs are built based on multi-partite networks of existing Web 2.0 social media such as Flickr and Wikipedia. These multi-partite linkage networks (contributor-tag, tag-category, and tag-tag) are extracted from Wikipedia to construct relational tag graphs. In fusing these networks, the authors propose incorporating contributor-category networks to model contributor’s specialization; it is shown that this step significantly enhances the accuracy of the inferred relatedness of the term-semantic graphs. Experiments based on 200 TREC-5 ad-hoc topics show that the algorithms outperform existing approaches. In addition, user studies demonstrate the superiority of this visualization system and its usefulness in the real world.

scholarly journals Cómo mejorar la relación con los públicos en social media. Análisis de buenas prácticas de las empresas del IBEX 35 y del FORTUNE 500 en Facebook, Twitter y blogs

2018 ◽  
Vol 01 (022) ◽  
pp. 5-26
Author(s):  
Cristina Aced Toledano ◽  
Ferrán Lalueza
Keyword(s):  
Social Media ◽  
Big Data ◽  
Internet Of Things ◽  
Web 2.0 ◽  
Ad Hoc ◽  
Fortune 500 ◽  
Redes Sociales ◽  
Medios Sociales ◽  
Buenas Prácticas

Big data, Internet of Things, bots… Las relaciones públicas se enfrentan a los nuevos retos de la revolución 4.0 cuando todavía no han sido capaces de responder a los desafíos del 2.0, como la bidireccionalidad de los mensajes y la conversación que demandan los usuarios de los social media. La llegada de la Web 2.0 abrió la puerta a la comunicación totalmente interactiva, al permitir una comunicación bidireccional. Sin embargo, la mayoría de las empresas siguen usando los social media de forma unidireccional. Es necesario un cambio de mentalidad en las organizaciones para aprovechar al máximo las oportunidades de interacción que ofrecen los social media. Este artículo analiza el nivel dialógico y la actividad de las grandes empresas en social media con el objetivo de identificar buenas prácticas que permitan a los profesionales de las relaciones públicas usar los medios sociales de forma estratégica. Con este fin, se han analizado la presencia, el contenido y la interactividad de las empresas del Ibex 35 y de una selección de 20 empresas del Fortune 500 con sus públicos externos (principalmente clientes) en Facebook, Twitter y blogs. En total, se han analizado 8.340 entradas de Facebook, 2.243 tuits y 177 posts de blog. Se ha creado una herramienta ad hoc para hacer este análisis. Para la creación de dicha herramienta se ha realizado un análisis crítico del discurso, una observación no participante y entrevistas a expertos en social media y relaciones públicas. En línea con investigaciones anteriores, este estudio muestra las empresas del Ibex 35 y del Fortune 500 aún no están aprovechando al máximo las oportunidades de interacción que ofrecen los medios sociales. El nivel dialógico del uso de los medios sociales es más alto en las compañías del Ibex 35 que en las del Fortune 500. El 27% de las empresas Ibex 35 y el 20% de las compañías del Fortune 500 tienen un nivel alto o muy alto de comunicación dialógica en las redes sociales.

scholarly journals Semrank

2021 ◽  
Vol 15 (3) ◽  
pp. 74-96
Author(s):  
Jagrati Singh ◽  
Anil Kumar Singh
Keyword(s):  
Social Media ◽  
Real Time ◽  
Real World ◽  
Adjacency Matrix ◽  
Distance Measure ◽  
Graph Representation ◽  
Media Content ◽  
Similarity Matrix ◽  
New Approach ◽  
Pagerank Algorithm

Popular real-world events often create huge traffic on Twitter including real-time updates of important moments, personal comments, and so on while the event is happening. Most of the users are interested to read the important tweets that possibly include important moments of that event. However, extracting the relevant tweets of any event is a challenging task due to the endless stream of noisy tweets and vocabulary variation problem of social media content. To handle these challenges, the authors introduce a new approach for computing the relative tweet importance based on the concept of the Pagerank algorithm where adjacency matrix of the graph representation of tweets contains semantic similarity matrix based on the word mover's distance measure utilizing Word2Vec word embedding model. The results show that top-ranked tweets generated by the proposed approach are more concise and news-worthy than baseline approaches.

Latvian agent nouns: their meaning, grammar, and use

2013 ◽  
Vol 4 ◽  
pp. 79-131
Author(s):  
Nicole Nau
Keyword(s):  
Social Media ◽  
Ad Hoc ◽  
Morphological Process ◽  
European Languages ◽  
Concept Building ◽  
Referential Function ◽  
Colloquial Style ◽  
Verbal Arguments

This article explores semantic and grammatical properties of Latvian agent nouns that are derived from verbs by the suffix -ēj- (for primary verbs) or -tāj- (for secondary verbs). These formations show several peculiarities that distinguish them from agent nouns in other European languages and from similar Latvian nouns formed by other means. They are specialized in meaning, highly regular and transparent. They show verbal features such as aspectuality and combinability with adverbs, and they may inherit verbal arguments. The productivity of the formation is almost unlimited, and many ad hoc formations are found in colloquial style, for example in social media. In discourse, agent nouns often have a referential function, either as the only function or in combination with a concept-building function. The focus of the article is on less institutionalized tokens which show the potential of this morphological process that challenges traditional views about the functions of derivation or its delimitation.

DERADICALISATION IDEAS IN SOCIAL MEDIA THROUGH THE RELIGIOUS-MULTICULTURAL THERAPY APPROACH TO THE DA'WAH CULTURE

2020 ◽  
Vol 24 (1) ◽  
pp. 58
Author(s):  
Anwar Hafidzi
Keyword(s):  
Social Media ◽  
Real World ◽  
Environmental Conditions ◽  
Islamic Law ◽  
Research Tool ◽  
Therapy Approach ◽  
The Real ◽  
Multicultural Therapy ◽  
Online Social Media ◽  
Library Research

This research begins with an understanding of the endemic radicalism of society, not only of the real world, but also of various online social media. This study showed that the avoidance of online radicalism can be stopped as soon as possible by accusing those influenced by the radical radicality of a secular religious approach. The methods used must be assisted in order to achieve balanced understanding (wasathiyah) under the different environmental conditions of the culture through recognizing the meaning of religion. The research tool used is primarily library work and the journal writings by Abu Rokhmad, a terrorist and radicalise specialist. The results of this study are that an approach that supports inclusive ism will avoid the awareness of radicalization through a heart-to-heart approach. This study also shows that radical actors will never cease to argue dramatically until they are able to grasp different views from Islamic law, culture, and families.Keywords: radicalism, deradicalization, multiculturalism, culture, religion, moderate.Penelitian ini berawal dari paham radikalisme yang telah mewabah di masyarakat, bukan hanya di dunia nyata, bahkan sudah menyusup di berbagai media sosial online. Penelitian ini menemukan bahwa cara menangkal radikalisme online dapat dilakukan pencegahan sedini mungkin melalui pendekatan konseling religius multikultural terhadap mereka yang terkena paham radikal radikal. Diantara teknik yang digunakan adalah melalui pemahaman tentang konsep agama juga perlu digalakkan agar memunculkan pemahaman yang moderat (wasathiyah) diberbagai keadaan lingkungan masyarakat. Metode yang digunakan untuk penelitian ini adalah library research dengan sumber utama adalah karya dan jurnal karya Abu Rokhmad seorang pakar dalam masalah terorisme dan radikalisme. Temuan penelitian ini adalah paham radikalisasi itu dapat dihentikan dengan pendekatan hati ke hati dengan mengedepankan budaya yang multikultural. Kajian ini juga membuktikan bahwa pelaku paham radikal tidak akan pernah berhenti memberikan argumen radikal kecuali mampu memahami perbedaan pendapat yang bersumber dari syariat Islam, lingkungan sosial, dan keluarga.Kata kunci: radikalisme, deradikalisasi, multikultural, budaya, agama, moderat.

A New Approach for the Reliability of Vehicular Ad hoc Networks

2018 ◽  
Author(s):  
Abdallah Dabboussi ◽  
Jaafar Gaber ◽  
Maxime Wack ◽  
Raed Kouta ◽  
Bachar EL Hassan ◽  
...  
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
New Approach ◽  
Hoc Networks

PP469 From Theory To Practice: Which Value Framework Is Applied For Onco-Hematology Therapies In Italy? A 5-year Retrospective Analysis

2020 ◽  
Vol 36 (S1) ◽  
pp. 37-37
Author(s):  
Americo Cicchetti ◽  
Rossella Di Bidino ◽  
Entela Xoxi ◽  
Irene Luccarini ◽  
Alessia Brigido
Keyword(s):  
Real World ◽  
Ad Hoc ◽  
Grey Literature ◽  
National Level ◽  
Pharmaceutical Products ◽  
European Medicines Agency ◽  
The Real ◽  
R Process ◽  
The One ◽  
The Impact

IntroductionDifferent value frameworks (VFs) have been proposed in order to translate available evidence on risk-benefit profiles of new treatments into Pricing & Reimbursement (P&R) decisions. However limited evidence is available on the impact of their implementation. It's relevant to distinguish among VFs proposed by scientific societies and providers, which usually are applicable to all treatments, and VFs elaborated by regulatory agencies and health technology assessment (HTA), which focused on specific therapeutic areas. Such heterogeneity in VFs has significant implications in terms of value dimension considered and criteria adopted to define or support a price decision.MethodsA literature research was conducted to identify already proposed or adopted VF for onco-hematology treatments. Both scientific and grey literature were investigated. Then, an ad hoc data collection was conducted for multiple myeloma; breast, prostate and urothelial cancer; and Non Small Cell Lung Cancer (NSCLC) therapies. Pharmaceutical products authorized by European Medicines Agency from January 2014 till December 2019 were identified. Primary sources of data were European Public Assessment Reports and P&R decision taken by the Italian Medicines Agency (AIFA) till September 2019.ResultsThe analysis allowed to define a taxonomy to distinguish categories of VF relevant to onco-hematological treatments. We identified the “real-world” VF that emerged given past P&R decisions taken at the Italian level. Data was collected both for clinical and economical outcomes/indicators, as well as decisions taken on innovativeness of therapies. Relevant differences emerge between the real world value framework and the one that should be applied given the normative framework of the Italian Health System.ConclusionsThe value framework that emerged from the analysis addressed issues of specific aspects of onco-hematological treatments which emerged during an ad hoc analysis conducted on treatment authorized in the last 5 years. The perspective adopted to elaborate the VF was the one of an HTA agency responsible for P&R decisions at a national level. Furthermore, comparing a real-world value framework with the one based on the general criteria defined by the national legislation, our analysis allowed identification of the most critical point of the current national P&R process in terms ofsustainability of current and future therapies as advance therapies and agnostic-tumor therapies.

scholarly journals COVID-19, Social Media, and the Role of the Public Physician

2021 ◽  
pp. 1-7
Author(s):  
Joel M. Topf ◽  
Paul N. Williams
Keyword(s):  
Social Media ◽  
Real World ◽  
The Public ◽  
Large Segment ◽  
Core Part ◽  
Audience Size

The COVID-19 pandemic has resulted in an avalanche of information, much of it false or misleading. Social media posts with misleading or dangerous opinions and analyses are often amplified by celebrities and social media influencers; these posts have contributed substantially to this avalanche of information. An emerging force in this information infodemic is public physicians, doctors who view a public presence as a large segment of their mission. These physicians bring authority and real-world experience to the COVID-19 discussion. To investigate the role of public physicians, we interviewed a convenience cohort of physicians who have played a role in the infodemic. We asked the physicians about how their roles have changed, how their audience has changed, what role politics plays, and how they address misinformation. The physicians noted increased audience size with an increased focus on the pandemic. Most avoided confronting politics, but others found it unavoidable or that even if they tried to avoide it, it would be brought up by their audience. The physicians felt that confronting and correcting misinformation was a core part of their mission. Public physicians on social media are a new occurrence and are an important part of fighting online misinformation.

ViFin

2021 ◽  
Vol 5 (1) ◽  
pp. 1-25
Author(s):  
Wenqiang Chen ◽  
Lin Chen ◽  
Meiyi Ma ◽  
Farshid Salemi Parizi ◽  
Shwetak Patel ◽  
...  
Keyword(s):  
Real Time ◽  
Real World ◽  
Wearable Devices ◽  
User Studies ◽  
Finger Movement ◽  
Writing System ◽  
Time System ◽  
Real Time System ◽  
Input Devices ◽  
A New Technique

Wearable devices, such as smartwatches and head-mounted devices (HMD), demand new input devices for a natural, subtle, and easy-to-use way to input commands and text. In this paper, we propose and investigate ViFin, a new technique for input commands and text entry, which harness finger movement induced vibration to track continuous micro finger-level writing with a commodity smartwatch. Inspired by the recurrent neural aligner and transfer learning, ViFin recognizes continuous finger writing, works across different users, and achieves an accuracy of 90% and 91% for recognizing numbers and letters, respectively. We quantify our approach's accuracy through real-time system experiments in different arm positions, writing speeds, and smartwatch position displacements. Finally, a real-time writing system and two user studies on real-world tasks are implemented and assessed.

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