Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets



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Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets

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Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets D7.11 Detailed Training Activities Plan Project ref. no H2020 141111 Project acronym Start date of project (dur.) MixedEmotions 01 April 2015 (24 Months) Document due Date 30 June 2015 Responsible for deliverable NUIG Reply to Document status Final D7.11 Detailed Training Activities Plan Page 1 of 12

Project reference no. H2020 141111 Project working name MixedEmotions Project full name Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets Document name MixedEmotions_D7.11_01_07_15_Detailed_Training_A ctivities_plan_nuig Security (distribution level) PU/CO Contractual delivery date Deliverable number D7.11 Deliverable name Detailed Training Activities Plan Type Report/Demonstrator/Other Version Final WP / Task responsible NUIG Contributors UPM, BUT, UP EC Project Officer Susan Fraser Document Location https://confluence.deri.ie:8443/display/mixedem/wp+ 7 D7.11 Detailed Training Activities Plan Page 2 of 12

Table of Contents EXECUTIVE SUMMARY... 4 1. INTRODUCTION... 4 2. TARGET USER GROUPS... 5 2.1. RESEARCHERS... 5 2.2. INDUSTRIAL USERS... 5 2.3. SERVICE DEVELOPERS... 5 3. WEBINARS... 6 3.1. 1ST WEBINAR - A BUSINESS PERSPECTIVE OF MIXEDEMOTIONS... 6 3.2. 1ST WEBINAR: A TECHNICAL PERSPECTIVE OF MIXEDEMOTIONS... 6 3.3. 2ND WEBINAR - A BUSINESS PERSPECTIVE OF MIXEDEMOTIONS... 7 3.4. 2ND WEBINAR: A TECHNICAL PERSPECTIVE OF MIXEDEMOTIONS... 7 4. F2F TRAINING ACTIVITIES... 8 4.1. SUMMER SCHOOLS... 8 4.2. HACKATHONS... 8 4.3. ACADEMIC EDUCATION... 9 4.3.1. UNIVERSIDAD POLITÉCNICA DE MADRID... 10 4.3.2. NATIONAL UNIVERSITY OF IRELAND GALWAY... 10 4.3.3. UNIVERSITY OF PASSAU / IMPERIAL COLLEGE... 11 4.3.4. BRNO UNIVERSITY OF TECHNOLOGY... 11 5. CONCLUSIONS... 12 D7.11 Detailed Training Activities Plan Page 3 of 12

Executive Summary The purpose of this deliverable is to detail a plan of training activities than enables knowledge transfer from academy to industry. The training activities have been designed for the following users: industrial users, service developers and researchers. The plan includes two webinars to be organized after the main project milestones, M12 and M21. These webinars will cover the scientific and technological approaches to emotion recognition across languages and modalities, as well as their efficient large-scale integration into commercial offerings. In addition, the plan includes F2F training activities (summer schools, academic courses and tutorials). 1. Introduction This deliverable describes the training plan scheduled to spread know-how in multimodal, multilingual emotion analysis based on a Big Linked Data platform. One of the main objectives of MixedEmotions is to provide business ready innovative data analytics solutions that can be deployed by European companies in global markets. MixedEmotions training activities will be designed so that potential users of MixedEmotions technologies can understand and use their full potential. Training activities bring the target user groups in contact with powerful technologies at their disposal. The training program has been created taking into account the information gaps to be filled and the needs of the different target user groups, industrial users, service developers and researchers as detailed in section 2. The contents of the learning materials will be created under Creative Common licenses. Two types of training activities has been scheduled: web-based activities (section 3) and face-to-face activities (section 4). An online feedback questionnaire will be designed and administered to the participants in the webinars immediately after each event in order to assure the maximum survey response rate possible. The questionnaire will be designed in order to provide feedback and assessment about project results. The questionnaire will include personal data, an overall webinar assessment, and judgment about the results of the project regarding the impact on future industrial and commercial activities. D7.11 Detailed Training Activities Plan Page 4 of 12

2. groups Training activities will be focused on three target user groups: researchers, industrial users and service developers. Differentiating between the needs and potential of the users groups will be necessary as user group has a different starting position, task profile and familiarity with MixedEmotions technologies. 2.1. Researchers Users in this category will use MixedEmotions technologies as a support tool for researching a topic, mainly in the fields of affective computing, semantic technologies and big data. MixedEmotions will pay special attention to this kind of users, since they can ensure the evolution and constant innovation of MixedEmotions technologies. 2.2. Industrial Users The potential industrial users of MixedEmotions are a wide range of European companies that can improve their business processes by providing emotion analysis decision support for consumers, marketers, competitors or managers. Specifically, MixedEmotions will have an impact on all actors in the emotion analysis data value chain: Content providers will be able to improve the services offered to their customers, by better understanding customer opinions and perceived value of their content, in order to improve their business effectiveness. Social media monitoring companies interested in analysing brand and product trends will have the possibility for the first time to analyse opinions across different languages and modalities/media, and perceive the cultural peculiarities of each region. MixedEmotions will provide a platform for accessing all relevant data and services in a seamless way. Contextual advertising companies interested in optimising the impact of online advertisements by measuring Europe-wide emotions and sentiment about products. 2.3. Service Developers Service developers will be able to develop new services using the MixedEmotions platform for multilingual emotion analysis across different media/modalities. This will enable to increase the competitiveness of these companies and reducing the time-to-market, crucial for the success of D7.11 Detailed Training Activities Plan Page 5 of 12

implemented solutions. Researchers and industrial partners can also take the role of service developers in case they develop new services. Based on the open source strategy of MixedEmotions, MixedEmotions setup a repository with the project software assets in the forge github (https://github.com/mixedemotions). This forge will include training material such as help pages and tutorials, screencasts, FAQs, forums, etc. 3. Webinars 3.1. 1st Webinar - A business perspective of MixedEmotions When: Webinar April 2016 (M12) web-based industrial partners (business background) This webinar aims at showing the potential of Mixed Emotions to prospective industrial users. The webinar will follow a case study approach based on the pilots developed in the project. This webinar also aims at identifying additional business requirements. Contents: Introduction to MixedEmotions Business drivers in the pilots Demo Benefits of the solution Discussion about additional business requirements and first impressions 3.2. 1st Webinar: A technical perspective of MixedEmotions When: Webinar April 2016 (M12) web-based industrial partners (technical profile), service developers and researchers This webinar aims at showing the potential of Mixed Emotions to D7.11 Detailed Training Activities Plan Page 6 of 12

Contents: prospective technical users. The webinar will provide a hands-on training activity so that users can understand and use MixedEmotions platform Introduction to MixedEmotions MixedEmotions Platform MixedEmotions services for multimodal and multilingual emotion analysis: API descriptions MixedEmotions services for multimodal and multilingual emotion analysis: Usage examples How to take advantage of the LD approach of MixedEmotions Benefits of the solution 3.3. 2nd Webinar - A business perspective of MixedEmotions When: Contents: Webinar January 2017 (M21) web-based industrial partners (business background) This webinar aims at presenting the potential of MixedEmotions to prospective industrial users. The webinar will follow a case study approach based on the pilots developed in the project. This webinar will be showing the achievements of the final version of the pilots. Depending on the interest of the attendants, this webinar will be more specific (i.e. Emotion Solutions for Social TV, Emotion Solutions for Brand Reputation Management, Emotion Solutions for Call Centers). Introduction to MixedEmotions Business drivers in the pilots Demo Benefits of the solution Commercial offering 3.4. 2nd Webinar: A Technical perspective of MixedEmotions When: Webinar January 2017 (M21) D7.11 Detailed Training Activities Plan Page 7 of 12

web-based industrial partners (technical profile), service developers and researchers This webinar aims at showing the potential of MixedEmotions to prospective technical users. The webinar will provide a hands-on training activity so that users can understand and use MixedEmotions platform. The webinar will be focused on the development of a simple emotion analysis service during the webinar. Contents: Introduction to MixedEmotions MixedEmotions Platform Use of MixedEmotions services for emotion analysis of multimedia assets How to take advantage of the LD approach of MixedEmotions Benefits of the solution 4. F2F Training activities 4.1. Summer Schools When: Partners: Description: EUROLAN 2015. School on Linguistic Open Data Jul 13, 2015 - Jul 25, 20 (M4) Sibiu, Romania Researchers in NLP, semantics, opinion mining NUIG Training on the use of Linked Data principles and best practices in language resource definition and publishing, with specific emphasis on language resources for opinion mining and emotion analysis, and their use in connection with background domain knowledge as specified in knowledge graphs 4.2. Hackathons Hackathon D7.11 Detailed Training Activities Plan Page 8 of 12

When: Partners: December 2016 (M20) Madrid, UPM service developers UPM, all A hackathon (also known as a hack day, hackfest or codefest) is an event in which computer programmers and others involved in software development, including graphic designers, interface designers and project managers, collaborate intensively on software projects. Hackathons typically start with one or more presentations about the event, as well as about the specific subject, if any. Then participants suggest ideas and form teams, based on individual interests and skills. Then the main work of the hackathon begins, which can last anywhere from several hours to several days. For hackathons that last 24 hours or longer, especially competitive ones, eating is often informal, with participants often subsisting on food like pizza and energy drinks. Sometimes sleeping is informal as well, with participants sleeping on-site with sleeping bags. At the end of hackathons, there is usually a series of demonstrations in which each group presents their results. MixedEmotions hackathon aims at fostering the development of new services by service developers. The activity will be coordinated with the Entrepreneurship activities of UPM. Contents MixedEmotions introduction Present the platform and resources Tutorial: Developing emotion services Set-up working teams and define project ideas Team project development Team projects presentation Fill in evaluation survey Final vote (among participating groups) Prize award (optional) 4.3. Academic Education Several of the academic partners of the project will disseminate MixedEmotions through training activities in their institutions. D7.11 Detailed Training Activities Plan Page 9 of 12

4.3.1. Universidad Politécnica de Madrid Seminar on Emotion Analysis When: October 2016 Partners: Madrid, UPM researchers / service developers UPM The seminar will introduce emotion analysis principles and will present the role of a Big Linked Data Platform. The seminar will be based on talks and a practical project in groups. Contents MixedEmotions introduction Emotion Analysis principles MixedEmotions Big Linked Data Platform Lab Project presentation 4.3.2. National University of Ireland Galway Erasmus student exchange BUT - NUIG When: September-December 2016 Partners: Contents Galway, NUIG Bc. and MSc. students from BUT NUIG, BUT As a part of their training Erasmus visits, students from BUT will work on a project-related topic defined in cooperation between NUIG and BUT Topic specification and formal assignment Regular teleconferences monitoring progress Group work on the particular problem Integration to a use case Final assessment D7.11 Detailed Training Activities Plan Page 10 of 12

4.3.3. University of Passau / Imperial College Intelligent Audio Analysis Course When: March-June 2016 Partners: Contents University of Passau Master/PhD students UP The course will cover the key topics related to the project and present preliminary results of the project with the focus on presenting use-cases of the project as examples for possible applications related to the course. Multimodality and multilinguality emotion analysis Machine learning techniques for emotion analysis Fusion techniques for multimodal data processing Data annotation techniques 4.3.4. Brno University of Technology Natural Language Processing Course When: September-December 2015, September-December 2016 Partners: Contents Brno, BUT Master students, including Erasmus students coming to BUT BUT The course will be extended to cover key topics related to the project and initial/advanced finding resulting from the project work. We will take advantage of the project focus on business aspects of advanced emotion analysis and present project use cases as examples of practical applicability of concept taught in the course. Motivational applications corresponding to project business cases Collection of big data relevant for emotion analysis from web Multimodality and multilinguality D7.11 Detailed Training Activities Plan Page 11 of 12

Pre-processing and indexing the data Machine-learning methods for emotion classification 5. Conclusions MixedEmotions has defined a training plan focused around the target groups to ensure they use MixedEmotions technologies to their full potential. The table below shows an overview of all scheduled training activities. Month Activity Target User Group M4 Summer School EUROLAN 2015 Researchers M12 M12 1st Webinar - A Business perspective of MixedEmotions 1st Webinar - A Technical perspective of MixedEmotions Industry Industry, Service Developers, Researchers M19 Seminar on Emotion Analysis (UPM) Researchers M20 Hackathon Service Developers M21 M21 M3-M21 M6-M9 M18-M21 2nd Webinar - A Business perspective of MixedEmotions 2nd Webinar - A Technical perspective of MixedEmotions Online Github community training material (FAQ, tutorials, screencasts, forums, etc.) Natural Language Processing course BUT Industry Industry, Service Developers, Researchers Service Developers, Researchers Researchers M12-M16 Intelligent Audio Analysis UP Researchers M18-M21 Erasmus student exchange BUT - NUIG Researchers D7.11 Detailed Training Activities Plan Page 12 of 12