COMMUNICATOR for a CYBER AGE in Africa. Edited by Fr
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
CITIES to BE TAMED? Standards and Alternatives in the Transformation of the Urban South
CITIES TO BE TAMED? Standards and alternatives in the transformation of the urban South SECTION 1 PLACES OF INFORMALITY by Planum. The Journal of Urbanism ISSN 1723-0993 | n. 26, vol.1/2013 Proceedings published in January 2013 CONFERENCE PROMOTERS Spazicontesi/Contestedspaces Francesco Chiodelli Beatrice De Carli Maddalena Falletti Lina Scavuzzo SCIENTIFIC COMMITTEE Alessandro Balducci, Politecnico di Milano, Italy Camillo Boano, University College London, UK Bruno De Meulder, University of Leuven, Belgium Jorge Fiori, AA School of Architecture, UK Nabeel Hamdi, Oxford Brookes University, UK Agostino Petrillo, Politecnico di Milano, Italy Antonio Tosi, Politecnico di Milano, Italy KEYNOTE SPEAKERS Bruno De Meulder, University of Leuven, Belgium Nabeel Hamdi, Oxford Brookes University, UK Erez Tzfadia, Sapir College, Israel with the support of DiAP - Department of Architecture and Planning and School of Architecture and Society, Politecnico di Milano in collaboration with Laboratory of International Cooperation, DiAP, Politecnico di Milano These Proceedings include the papers accepted for presentation at the Conference ‘CITIES TO BE TAMED? Standards and alternatives in the transformation of the urban South’ held in Milan, Politecnico di Milano, on November 15 to 17, 2012. Only the Authors who were regularly registered for the Conference and agreed to publish their contributions were included in the Proceedings. For further information on the Conference programme and a complete list of speakers and presentations, please visit www.contestedspaces.info. Proceedings edited by Spazicontesi/Contestedspaces. CONTACT www.contestedspaces.info [email protected] © Copyright 2013 Planum. The Journal of Urbanism Via Bonardi 9, 20133 Milan, Italy Registered by the Court of Rome on 4/12/2001 under the number 524-2001 All rights reserved. -
An Analysis of Annotated Corpora for Emotion Classification in Text
An Analysis of Annotated Corpora for Emotion Classification in Text Laura-Ana-Maria Bostan and Roman Klinger Institut fur¨ Maschinelle Sprachverarbeitung University of Stuttgart, Pfaffenwaldring 5b, 70569 Stuttgart, Germany [email protected] [email protected] Abstract Several datasets have been annotated and published for classification of emotions. They differ in several ways: (1) the use of different annotation schemata (e. g., discrete label sets, including joy, anger, fear, or sadness or continuous values including valence, or arousal), (2) the domain, and, (3) the file formats. This leads to several research gaps: supervised models often only use a limited set of available resources. Additionally, no previous work has compared emotion corpora in a systematic manner. We aim at contributing to this situation with a survey of the datasets, and aggregate them in a common file format with a common annotation schema. Based on this aggregation, we perform the first cross-corpus classification experiments in the spirit of future research enabled by this paper, in order to gain insight and a better understanding of differences of models inferred from the data. This work also simplifies the choice of the most appropriate resources for developing a model for a novel domain. One result from our analysis is that a subset of corpora is better classified with models trained on a different corpus. For none of the corpora, training on all data altogether is better than using a subselection of the resources. Our unified corpus is available at http://www.ims.uni-stuttgart.de/data/unifyemotion. Title and Abstract in German Eine Analyse von annotierten Korpora zur Emotionsklassifizierung in Text Es existieren bereits verschiedene Textkorpora, welche zur Erstellung von Modellen fur¨ die automatische Emotionsklassifikation erstellt wurden. -
A Survey on Performance Evaluation of Emotion Recognition on Unison Model with LSSVM Classifier Miss
IJRECE VOL. 7 ISSUE 2 (APRIL- JUNE 2019) ISSN: 2393-9028 (PRINT) | ISSN: 2348-2281 (ONLINE) A Survey on Performance Evaluation of Emotion Recognition on Unison Model with LSSVM Classifier Miss. Mayuri Nikam, Sheetal Thokal Department of Computer Engineering, JSPM’S Imperial college of Engineering and Research, Wagholi Pune. Abstract- The analysis of social networks is a very challenging categorization with two additional emotions and presented his research area while a fundamental aspect concerns the detection categorization in a wheel of emotions. Finally, Profile of Mood of user communities. The existing work of emotion recognition States (POMS) is a psychological instrument that defines a six- on Twitter specifically depends on the use of lexicons and dimensional mood state representation using text mining. The simple classifiers on bag-of words models. The vital question of novel algorithm a Profile of Mood States (POMS) generating our observation is whether or not we will enhance their overall twelve-dimensional mood state representation using 65 performance using machine learning algorithms. The novel adjectives with combination of Ekman’s and Plutchik’s algorithm a Profile of Mood States (POMS) represents twelve- emotions categories like, anger, depression, fatigue, vigour, dimensional mood state representation using 65 adjectives with tension, confusion, joy, disgust, fear, trust, surprise and combination of Ekman’s and Plutchik’s emotions categories anticipation. Previous work generally studied only one emotion like, anger, depression, fatigue, vigour, tension, confusion, joy, classification. Working with multiple classifications disgust, fear, trust, surprise and anticipation. These emotions simultaneously not only enables performance comparisons classify with the help of text based bag-of-words and LSI between different emotion categorizations on the same type of algorithms. -
LNU-THESIS-2016.Pdf (2.995Mb)
REAL TIME CLASSIFICATION OF EMOTIONS TO CONTROL STAGE LIGHTING DURING DANCE PERFORMANCE A Thesis Presented to The Faculty of the Department of Biomedical Engineering University of Houston In Partial Fulfillment of the Requirements for the Degree Master of Science In Biomedical Engineering By Shruti Ray August 2016 REAL TIME CLASSIFICATION OF EMOTIONS TO CONTROL STAGE LIGHTING DURING DANCE PERFORMANCE _____________________________ Shruti Ray Approved: ________________________________ Chair of The Committee Dr. Jose Luis Contreras – Vidal, Professor, Department of Electrical and Computer Engineering Committee Members: ________________________________ Dr. Ahmet Omurtag, Associate Professor, Department of Biomedical Engineering _______________________________ Dr. Saurabh Prasad, Assistant Professor, Department of Electrical and Computer Engineering, _______________________ ____________________________ Dr. Suresh K. Khator, Dr. Metin Akay, Founding Chair, Associate Dean John S. Dunn Cullen Endowed Professor, Cullen College of Engineering Department of Biomedical Engineering Acknowledgement I would like to show my deepest gratitude for my advisor, Dr. Jose Luis Contreras - Vidal, for his continuous guidance, encouragement and support throughout this research project. I would also like to thank my colleagues from Laboratory for Noninvasive Brain- Machine Interface Systems, for their immense support and encouragement and help in data collection for analysis. I would like to thank Ms. Rebecca B. Valls and Ms. Anastasiya Kopteva for their dancer performances with EEG caps to help me with the data collection. Additionally, I would like to thank all my friends Su Liu, Thomas Potter, Dr. Kinjal Dhar Gupta and my sister Shreya Ray who have supported me in both happy and adverse conditions. Last, but not the least, I would like to thank my parents and family to believe in my dreams and supporting my quest for higher education. -
Download Article
Advances in Intelligent Systems Research, volume 166 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2019) Summarizing Emotions from Text Using Plutchik’s Wheel of Emotions Mohsin Manshad Abbasi Anatoly Beltiukov Theoratical Foundation of Computer Sciences Theoratical Foundation of Computer Sciences Udmurt State University Udmurt State University Izhevsk, Russian Federation Izhevsk, Russian Federation [email protected] [email protected] Abstract—Text is an important and major source of shopping. We will analyze and summarize the emotions from communication over Internet. It is analyzed to identify text using the concept of Plutchik’s wheel of emotions [1]. In interesting information and trends of communication. Within 1980’s Robert Plutchik divided emotions into eight main this work, we are analyzing emotions expressed by people on categories. Half of these emotions are positive emotions, and Internet using Plutchik’s wheel of emotions. Plutchik’s wheel of the other half are negative ones. They are seen as opposite to emotions is use as a tool to identify and summarize emotions to each other. We can observe this among secondary emotions, their primary classes. To accomplish it, we allocate a weight to such as joy is opposite to sadness, surprise is opposite to each emotion depending upon the class it belongs and its anticipation, trust is opposite to disgust, and anger is opposite distance from the center of Plutchik’s wheel of emotions. These to fear. He explained each emotion in detail and divided it weights are then multiplied by the frequencies of emotions in text to identify their intensity level. -
Spin the Wheel of Emotions Well-Being Level 4-6
Emotional Grade Spin the Wheel of Emotions Well-Being Level 4-6 Materials Access to the internet Learning Recognize a variety of emotions including opposite emotions, mixed Outcome emotions, and intensities of emotions. Description Ask the child to name as many emotions as possible. After they have done so, visit Plutchik’s Wheel of Emotions webpage and look at the wheel of emotions together. Review each section of the wheel and think about what the sections have in common. Observe the emotions with no colour and guess what they may mean. Read all of the emotions and provide a definition for any that the child does not know. After reviewing the Wheel of Emotions, share with the child that Robert Plutchik was a psychologist that stated there are eight basic emotions: joy, trust, fear, surprise, sadness, anticipation, anger, and disgust. Each basic emotion has a polar opposite. This means: Joy is the opposite of sadness Fear is the opposite of anger Anticipation is the opposite of surprise Disgust is the opposite of trust Look at the webpage again and explain to the child that the emotions with no colour represent an emotion that is a mix of two of the basic emotions. For example, the emotions of anticipation and joy combine to be the emotion of optimism. Also, explain that emotions get more intense as they move from the outside of the wheel to the center of the wheel. You can see this represented on the wheel with the darker shades representing the most intense emotions. After looking at the wheel again, ask the child: What do you think -
Harmful Practices Against Children in Plural Legal Systems with a Special Focus on Africa
Addressing harmful practices against children in plural legal systems with a special focus on Africa Protecting children from harmful practices in plural legal systems The Special Representative of the Secretary-General on Violence against Children is an independent global advocate in favour of the prevention and elimination of all forms of violence against http://srsg.violenceagainstchildren.org children, mobilizing action and political support to achieve http://facebook.com/msantospaispage progress the world over. The mandate of the SRSG is anchored in http://twitter/srsgvac the Convention on the Rights of the Child and other international http://youtube.com/srsgvac human rights instruments and framed by the UN Study on Violence against Children. New York 2012 Protecting children from harmful practices in plural legal systems with a special emphasis on Africa New York 2012 i ii CONTENTS Acknowledgements ...................................................................................................... 3 Acronyms ...................................................................................................... 4 Foreword ...................................................................................................... 5 1. Setting the scene ...................................................................................................... 7 Violence against children, harmful practices and law reform ................................ 9 2. International human right standards to protect children from harmful practices ........ -
Plutchik's Wheel of Emotions Cheat Sheet by [Deleted] Via Cheatography.Com/2754/Cs/6051
Plutchik's Wheel of Emotions Cheat Sheet by [deleted] via cheatography.com/2754/cs/6051/ Intoduc tion Plutchik's Wheel of Emotions In 1980 Robert Plutchik constru cted a wheel-like diagram of emotions, an infograph that uses the color wheel to illustrate variations in human affect and the relatio nship among emotions. Current applica tions of the wheel of emotion include robotics and sentiment analysis. Psychol ogist Robert Plutchik created the 2D wheel and a conical 3D version in 1980 as a tool for underst anding his psychoe vol uti onary theory of emotion. Plutchik identified eight primary emotions, which he coordin ated in pairs of opposites (see table). Intensity of emotion and indicator color increases toward the center of the wheel and decreases outward. At the center, terror, for example, becomes fear and then apprehe nsion; ecstasy becomes joy and then serenity. Secondary emotions are displayed as combin‐ ations of the primary ones. ConveyAPI, a web service that interfaces with a text analysis engine, Eight Basic Emotions applies the wheel of emotions to sentiment analysis for social media Human Feelings Emoti ons Oppos ite monitor ing. ConveyAPI uses the concepts of Plutchik's wheel of Optimism Anticip ation + Joy Disappr oval emotions in text analysis to identify the polarity (positive or negative) Love Joy + Trust Remorse and attribute specific emotions and their intensity. Submission Trust + Fear Contempt credit: http:// wha tis .te cht arg et.com /de fin iti on/ Plu tch iks -Wh eel -of -E‐ motions Awe Fear + Surprise Aggression Disappr oval Surprise + Sadness Optimism Basic Emotions & Opposites Remorse Sadness + Disgust Love Basic Emotion Emoti onal Opposite Contempt Disgust + Anger Submission Joy Sadness Aggress ive ness Anger + Anticip ation Awe Trust Disgust Fear Anger Surprise Anticip ation By [deleted] Published 12th November, 2015. -
Chapter Trek Senegal Guide
Chapter Trek Senegal Guide 2 3 Chapter 1 – Welcome to Trek for Knowledge What is a Chapter Trek? p. 6 Trek Covenant p. 7 Trek Guidelines p. 8 + 9 Trek Itinerary p. 10 A Typical Day on Trek p. 11 One the Worksite p. 12 Living with a Host Family p. 13 Trek Packing List p. 14-15 Chapter 2 – Paperwork and Medical Concerns Passports p. 18 Vaccinations p. 19-20 Medical Concerns p. 21 Malaria & Mosquitoes p. 22-23 Traveler’s Diarrhea p. 24 Rabies p. 25 Food on Trek p. 26 Water on Trek p. 27 International Medical Insurance p. 28 Chapter 3 – Pre Trek Workshops Pre Trek Preparation p. 32 Circle of Trust p. 33 Personal Goals p. 34 Culture Shock p. 35-38 Senegalese Customs p. 39-42 Host Family Gifts p. 43 The Art of Giving p. 44 Chapter 4 – Senegal Profile & History Map p. 45 Senegal Profile p. 46 History, Land & People p. 47 Chapter 5 – Articles of Interest Islam in Senegal p. 56 The Songs of Senegal p. 59 Polygamy Throttles Women in Senegal p. 66 From Beggars to Students p. 69 Leopold Sedar Senglor p. 73 Further Resources p. 77 Chapter 6 – Reflection on Trek Reflection time and Journaling p. 80 Trek for Knowledge Senegal 2013 4 Chapter 7 – Host Family Activities No Regrets! p. 84 Community Mapping p. 85 Family Tree p. 86 Animal Sounds p. 87 Local Language and English p. 88 Tic Tac Toe p. 89 Dots and Boxes p. 90 Hopscotch p. 91 Chapter 8 – Journals Blank Journal Pages p. -
31 an Empirical Assessment of the Role of Emotions and Behavior in Conflict Using Automatically Generated Data* Abstract Keyword
V2, N2, Jul. 2013, 31-47 An Empirical Assessment of the Role of Emotions and Behavior in Conflict Using Automatically Generated Data* Steve Shellman Sean O’Brien Strategic Analysis Enterprises (SAE), Inc. Abstract Automated event data extraction techniques have revolutionized the study of conflict dynamics through the ability of these techniques to generate large volumes of timely data measuring dynamic interactions among actors around the world. In this paper, we describe our approach for adapting these techniques to extract data on sentiments and emotions, which are theorized to crucially contribute to escalating and de-escalating conflict. Political scientists view political conflict as resulting from a series of strategic interactions between groups and individuals. Psychologists highlight additional factors in political conflict, such as endorsements and condemnations, the public’s attitude toward its leaders, the impact of public attitudes on policy, and decisions to engage in armed conflict. This project combines these two approaches to examine hypotheses regarding the effects that different emotional impulses have on government and dissident decisions to escalate or de-escalate their use of hostility and violence. Across the two cases examined—the democratic Philippines and authoritative Egypt between 2001 and 2012—we found consistent evidence that intense societal fear of dissidents and societal disgust toward the government were associated with increases in dissident hostility. Conversely, societal anger toward dissidents was associated with a reduction in dissident hostility. However, we also found noticeable differences between the two regimes. We close the article with a summary of these similarities and differences, along with an assessment of their implications for future conflict studies. -
Arabic-Egyptian
ARABIC-EGYPTIAN Egyptian men, Assuit Governorate Flickr/USAID Egypt DLIFLC DEFENSE LANGUAGE INSTITUTE FOREIGN LANGUAGE CENTER CULTURAL ORIENTATION | Arabic-Egyptian Profile Introduction ................................................................................................................... 6 Geographic Divisions .................................................................................................. 7 Nile River Valley and Delta ................................................................................8 Western Desert (Al-Ṣaḥraʾ al-Gharbiyyah) .....................................................8 Eastern Desert (Al-Ṣaḥraʾ al-Libiyah) ..............................................................9 Sinai Peninsula (Shibh Jazirat Sina) ................................................................9 Climate ..........................................................................................................................10 Bodies of Water ...........................................................................................................11 Nile River (Baḥr Al-Nil) ..................................................................................... 11 Lake Nasser ........................................................................................................ 12 Suez Canal ......................................................................................................... 12 Mediterranean Sea ........................................................................................... -
Testing Your Emotions
TESTING YOUR EMOTIONS AND HOW YOU CAN APPLY SOME PERSONAL LEADERSHIP TO KEEP THEM UNDER CONTROL… THANKS TO…. • Robert Plutchik. • Hugo Lövheim. • Jerry Weinberg. • Michael Bolton. • And many more…. • And some cats. WHY? BECAUSE I BELIEVE THAT UNDERSTANDING OUR EMOTIONS MAKES US BETTER TESTERS EMOTIONS ARE BASIC HUMAN RESPONSES WE ALL EXPERIENCE EMOTIONS EMOTIONS CAN HAVE A POWERFUL IMPACT ON MEMORY WITHOUT EMOTION, WE DON’T REASON WELL. ANTONIO DAMASIO, “THE FEELING OF WHAT HAPPENS”. FRUSTRATION – A PERSONAL STORY WHAT ARE EMOTIONS? The word "emotion" dates back to 1579, when it was adapted from the French word émouvoir, which means "to stir up". However, the earliest precursors of the word likely dates back to the very origins of language. Wikipedia WHAT ARE EMOTIONS? • Discrete and consistent responses to internal or external events which have a particular significance for the organism. • Brief in duration and consist of a coordinated set of responses, which may include verbal, physiological, behavioral, and neural mechanisms. • Biologically given and a result of evolution because they provided good solutions to ancient and recurring problems that faced our ancestors. WHAT AREN’T THEY? • Feelings - a subjective representation of emotions, private to the individual experiencing them. • Moods - diffuse affective states that generally last for much longer durations than emotions and are also usually less intense than emotions. • Affects - a term that describe the topics of emotion, feelings, and moods together. HOW CAN WE UNDERSTAND? • Think about the last time you received an emotional response - How did it make you feel? • Think about the last time you felt “emotional” - Why was it? How did it make you feel? Did you try and hide it? SO WHAT ABOUT THESE? Source: Kerr Photography - http://www.flickr.com/photos/23992930@N04/4633061196/ OR THIS? Source: Michelle Tribe - http://www.flickr.com/photos/37539977@N00/3203922211/ ORIGINS Illustration from Charles Darwin's “The Expression of the Emotions in Man and Animals”.