Andrianthi Kapetanaki, Akrivi Krouska, C. Troussas, C. Sgouropoulou
This study presents a systematic review of the literature which analyzes the impact and application of Augmented Reality (AR) technology in the tutoring of students with special educational needs. In recent years, Information and Communication Technology (ICT) promotes learning in a pluralistic and multisensory environment that favors students with special educational needs. Augmented Reality is an emerging technology which has been widely used in the field of education, but only few studies are related to special education. This paper investigates the research in AR educational systems addressed to students with special educational needs. In total, 26 studies between 2014 and 2022 were selected and analyzed. Specifically, this systematic review examines the advantages and limitations of AR use in Special Education, the AR platforms and tools used in learning scenarios and the different types of students with special educational needs.
{"title":"Analyzing the impact and application of Augmented Reality in Education: The case of students with special educational needs","authors":"Andrianthi Kapetanaki, Akrivi Krouska, C. Troussas, C. Sgouropoulou","doi":"10.1145/3575879.3575999","DOIUrl":"https://doi.org/10.1145/3575879.3575999","url":null,"abstract":"This study presents a systematic review of the literature which analyzes the impact and application of Augmented Reality (AR) technology in the tutoring of students with special educational needs. In recent years, Information and Communication Technology (ICT) promotes learning in a pluralistic and multisensory environment that favors students with special educational needs. Augmented Reality is an emerging technology which has been widely used in the field of education, but only few studies are related to special education. This paper investigates the research in AR educational systems addressed to students with special educational needs. In total, 26 studies between 2014 and 2022 were selected and analyzed. Specifically, this systematic review examines the advantages and limitations of AR use in Special Education, the AR platforms and tools used in learning scenarios and the different types of students with special educational needs.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125901479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Koutsioumpos, E. Zervas, Efstathios Hadjiefthymiades, L. Merakos
A key issue in Wireless Powered Communications Network (WPCN), deployed for periodic sensor measurement reporting, is the design of the nodes’ transmission schedule process. Under various unfavorable conditions, such as distant nodes and/or nodes located at the edge of the charging beam, blockage, or bad channel conditions in general, sensor nodes are insufficiently charged during the inter-transmission period. In these cases, successful reporting to the Access Point (AP) becomes problematic. To this end, we propose a Markov Decision Process (MDP) approach that allows nodes the choice of transmitting or refraining from transmitting and continue charging.
{"title":"An MDP approach to transmission scheduling in WPCN networks","authors":"M. Koutsioumpos, E. Zervas, Efstathios Hadjiefthymiades, L. Merakos","doi":"10.1145/3575879.3575988","DOIUrl":"https://doi.org/10.1145/3575879.3575988","url":null,"abstract":"A key issue in Wireless Powered Communications Network (WPCN), deployed for periodic sensor measurement reporting, is the design of the nodes’ transmission schedule process. Under various unfavorable conditions, such as distant nodes and/or nodes located at the edge of the charging beam, blockage, or bad channel conditions in general, sensor nodes are insufficiently charged during the inter-transmission period. In these cases, successful reporting to the Access Point (AP) becomes problematic. To this end, we propose a Markov Decision Process (MDP) approach that allows nodes the choice of transmitting or refraining from transmitting and continue charging.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"319 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122313982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maria Sabani, I. Savvas, D. Poulakis, Georgios C. Makris
The last decade, the evolution in quantum computing has been enormous and real and reliable quantum computers are being developed quickly. One of the consequences of the upcoming quantum era is to make key distribution protocols insecure, as most of them are based on discrete algorithm problems. On the other hand, quantum computing provides a powerful and prominent tool for the safe transmission of information and cryptographic schemes and many of them have already been proposed. In this work, we discuss about quantum cryptography and we present certain quantum key distribution protocols. We also discuss about ‘potential attacks that can be performed against the quantum cryptographic schemes which are based on quantum system’s imperfections and loopholes.
{"title":"Quantum Key Distribution: Basic Protocols and Threats","authors":"Maria Sabani, I. Savvas, D. Poulakis, Georgios C. Makris","doi":"10.1145/3575879.3576022","DOIUrl":"https://doi.org/10.1145/3575879.3576022","url":null,"abstract":"The last decade, the evolution in quantum computing has been enormous and real and reliable quantum computers are being developed quickly. One of the consequences of the upcoming quantum era is to make key distribution protocols insecure, as most of them are based on discrete algorithm problems. On the other hand, quantum computing provides a powerful and prominent tool for the safe transmission of information and cryptographic schemes and many of them have already been proposed. In this work, we discuss about quantum cryptography and we present certain quantum key distribution protocols. We also discuss about ‘potential attacks that can be performed against the quantum cryptographic schemes which are based on quantum system’s imperfections and loopholes.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122961036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ioannis G. Chaidoulis, N. Karanikolas, Sarantos Psycharis
A first attempt in the construction of a modular, low-cost, various microcontroller-based computer system, with the ability to implement many different educational and industry scenarios. Special care has been taken so the whole lab exercises are team based, motivational, DIY for the most time, keep the audience intrigued so their learning is most efficient and pleasant. Arduino, ESP32 & 8266, Raspberry Pi, and ARM Cortex-M (STM32), micro-controllers and more in future, add-on shields, sensors, actuators, some components, and measurement devices are the partners in crime that motivate the students to be involved in the whole project. All exercises look simply but are based in the context that the students must combine knowledge from different engineering, scientific and computational methodology. As a new concept, it will be tested this year and the outcome next year will justify experience-based predictions or suggest needed changes.
{"title":"Modular, low-cost, open-source lab platform for Electronic Engineering & Mechatronics","authors":"Ioannis G. Chaidoulis, N. Karanikolas, Sarantos Psycharis","doi":"10.1145/3575879.3575991","DOIUrl":"https://doi.org/10.1145/3575879.3575991","url":null,"abstract":"A first attempt in the construction of a modular, low-cost, various microcontroller-based computer system, with the ability to implement many different educational and industry scenarios. Special care has been taken so the whole lab exercises are team based, motivational, DIY for the most time, keep the audience intrigued so their learning is most efficient and pleasant. Arduino, ESP32 & 8266, Raspberry Pi, and ARM Cortex-M (STM32), micro-controllers and more in future, add-on shields, sensors, actuators, some components, and measurement devices are the partners in crime that motivate the students to be involved in the whole project. All exercises look simply but are based in the context that the students must combine knowledge from different engineering, scientific and computational methodology. As a new concept, it will be tested this year and the outcome next year will justify experience-based predictions or suggest needed changes.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"28 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116623575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Over the past few decades, there has been a significant breakthrough in the field of quantum computing. Research is of growing interest, which has recently led to the development of quantum information systems prototypes and methods for their development. The paper describes the possibilities, advantages and disadvantages of quantum neural networks. The analysis of throughput, learning complexity and comparison of a classical feed-forward neural network and a quantum neural network with two different feature maps is carried out.
{"title":"Research of Implementation Methods for Quantum Machine Learning and Their Development on QPU","authors":"V. Potapov, S. Gushanskiy","doi":"10.1145/3575879.3576023","DOIUrl":"https://doi.org/10.1145/3575879.3576023","url":null,"abstract":"Over the past few decades, there has been a significant breakthrough in the field of quantum computing. Research is of growing interest, which has recently led to the development of quantum information systems prototypes and methods for their development. The paper describes the possibilities, advantages and disadvantages of quantum neural networks. The analysis of throughput, learning complexity and comparison of a classical feed-forward neural network and a quantum neural network with two different feature maps is carried out.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128272734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Savvas, Andrey Chernov, O. Kartashov, G. Beliavsky, M. Butakova
There is no doubt that quantum computing has opened up new horizons and perspectives in many fields, including scientific research. With the advancement of technology and quantum computers, we can now conduct new kinds of scientific experiments: observing quantum properties of individual systems, atoms, electrons and photons as well as influencing and controlling quantum systems. Quantum mechanics describes the properties of quantum systems by their quantum states. Unlike in classical mechanics, quantum states themselves cannot be directly observed in experiments, so many-body dynamics mathematical simulations are useful. Even though many-body dynamics problems can be solved for limited cases, but when we consider real-world pieces of matter this leads to computation-intensive calculations that are beyond classic digital computers. The memory and time needed to describe the quantum state of a many-body system scales exponentially with the size of the system. This has led physics communities to focus their attention on the algorithms underlying modern machine learning with the goal of making progress in quantum matter research. As a consequence, the successful application of machine learning requires effective and informative data representation. This paper discusses some novel aspects of applying classical machine learning algorithms to quantum data derived from measurements associated with quantum systems in many-body simulation problems. In this paper, we investigate and experimentally demonstrate one of the effective methods of the quantum data representation suited for the classical machine learning applications based on quantum classical shadows.
{"title":"On the Effective Representation of Quantum Data for Classical Machine Learning Problems","authors":"I. Savvas, Andrey Chernov, O. Kartashov, G. Beliavsky, M. Butakova","doi":"10.1145/3575879.3576021","DOIUrl":"https://doi.org/10.1145/3575879.3576021","url":null,"abstract":"There is no doubt that quantum computing has opened up new horizons and perspectives in many fields, including scientific research. With the advancement of technology and quantum computers, we can now conduct new kinds of scientific experiments: observing quantum properties of individual systems, atoms, electrons and photons as well as influencing and controlling quantum systems. Quantum mechanics describes the properties of quantum systems by their quantum states. Unlike in classical mechanics, quantum states themselves cannot be directly observed in experiments, so many-body dynamics mathematical simulations are useful. Even though many-body dynamics problems can be solved for limited cases, but when we consider real-world pieces of matter this leads to computation-intensive calculations that are beyond classic digital computers. The memory and time needed to describe the quantum state of a many-body system scales exponentially with the size of the system. This has led physics communities to focus their attention on the algorithms underlying modern machine learning with the goal of making progress in quantum matter research. As a consequence, the successful application of machine learning requires effective and informative data representation. This paper discusses some novel aspects of applying classical machine learning algorithms to quantum data derived from measurements associated with quantum systems in many-body simulation problems. In this paper, we investigate and experimentally demonstrate one of the effective methods of the quantum data representation suited for the classical machine learning applications based on quantum classical shadows.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124165207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Our time is characterized by big sprawling urban complexes that a majority of the human population chooses to live where interactions with the environment seem to be vanishing from our day to day lives. Our relationship with the planet’s natural ecosystem is paramount to our survival and well-being, a relationship that begins to form during our childhood years. Considering the above we propose a novel system which aims to give the ability to children to interact with the natural environment even when they have no access to it, from the classrooms in which they spend considerable parts of their lives. Specifically the proposed system is based on the technology of the Digital Twin, a core pillar of the 4th Industrial Revolution, and is comprised of a smart birdhouse and an electronic Digital Twin. The smart birdhouse can be deployed in a natural environment and collect atmospheric data like humidity and temperature values as well as record audio and pictures of possible bird visitors. At the same time the collected data will be available to the end user through a dashboard platform for atmospheric parameters and the digital electronic twin which will play the collected sound or pictures. With the above system we aim to achieve a greater and meaningful engagement of children with their natural habitat even when their urban environment makes it impractical or unfeasible.
{"title":"Prototyping a Digital Twin System for Environmental Education","authors":"Andreas Komninos, Georgios Tsigkas","doi":"10.1145/3575879.3576018","DOIUrl":"https://doi.org/10.1145/3575879.3576018","url":null,"abstract":"Our time is characterized by big sprawling urban complexes that a majority of the human population chooses to live where interactions with the environment seem to be vanishing from our day to day lives. Our relationship with the planet’s natural ecosystem is paramount to our survival and well-being, a relationship that begins to form during our childhood years. Considering the above we propose a novel system which aims to give the ability to children to interact with the natural environment even when they have no access to it, from the classrooms in which they spend considerable parts of their lives. Specifically the proposed system is based on the technology of the Digital Twin, a core pillar of the 4th Industrial Revolution, and is comprised of a smart birdhouse and an electronic Digital Twin. The smart birdhouse can be deployed in a natural environment and collect atmospheric data like humidity and temperature values as well as record audio and pictures of possible bird visitors. At the same time the collected data will be available to the end user through a dashboard platform for atmospheric parameters and the digital electronic twin which will play the collected sound or pictures. With the above system we aim to achieve a greater and meaningful engagement of children with their natural habitat even when their urban environment makes it impractical or unfeasible.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127915451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dimitris G. Tsarmpopoulos, Eirini I. Nikolopoulou, Christina D. Nikolakakou, G. Androulakis
It is well known that, for the majority of large-scale LP problems, only a relatively small percentage of constraints are binding at the optimal solution. Redundancy may occur in the formulation phase of the LP problems and even if it does not alter the optimal solution, it may increase the computational cost and the complexity of the problem. For this reason, many researchers have proposed algorithms for identifying redundant constraints in LP problems and thus reducing the dimension of the problem. The goal of this paper is to present a method that uses a subset of the initial constraints that are considered to be essential for the optimal solution. Thus, a combination of a recently proposed proximity technique, that is based on the proximity of the coefficients of the objective function with the corresponding coefficients of the constraints and of an algorithm that is based on the weighted average of the coefficient of each constraint, takes place. Under the newly proposed method, the numerical results are promising.
{"title":"A combination of a Proximity technique and Weighted average for LP Problems","authors":"Dimitris G. Tsarmpopoulos, Eirini I. Nikolopoulou, Christina D. Nikolakakou, G. Androulakis","doi":"10.1145/3575879.3575990","DOIUrl":"https://doi.org/10.1145/3575879.3575990","url":null,"abstract":"It is well known that, for the majority of large-scale LP problems, only a relatively small percentage of constraints are binding at the optimal solution. Redundancy may occur in the formulation phase of the LP problems and even if it does not alter the optimal solution, it may increase the computational cost and the complexity of the problem. For this reason, many researchers have proposed algorithms for identifying redundant constraints in LP problems and thus reducing the dimension of the problem. The goal of this paper is to present a method that uses a subset of the initial constraints that are considered to be essential for the optimal solution. Thus, a combination of a recently proposed proximity technique, that is based on the proximity of the coefficients of the objective function with the corresponding coefficients of the constraints and of an algorithm that is based on the weighted average of the coefficient of each constraint, takes place. Under the newly proposed method, the numerical results are promising.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115818610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Angelos Dimitsas, Vasileios Nastos, Christos G Gogos, Christos Valouxis
Educational timetabling has long piqued the interest of the scheduling community. Since timetabling governs how universities operate daily, it has been vital in academia to put substantial effort into creating schedules of the highest caliber. To create schedules that satisfy all stakeholders, various approaches have been tried to solve educational timetabling problems, which are typically NP-Hard. Over the past 20 years, several scheduling contests have been held with a focus on issues related to educational operations. In this paper, we focus on the Post Enrollment Course Timetabling Problem and two datasets from the International Timetabling Competitions held in 2002 and 2007. We propose a local search procedure augmented by a base mathematical model and variations of this model that yields competitive results, within reasonable execution times, to some of the best-known solutions.
{"title":"An exact based approach for the Post Enrollment Course Timetabling Problem","authors":"Angelos Dimitsas, Vasileios Nastos, Christos G Gogos, Christos Valouxis","doi":"10.1145/3575879.3575970","DOIUrl":"https://doi.org/10.1145/3575879.3575970","url":null,"abstract":"Educational timetabling has long piqued the interest of the scheduling community. Since timetabling governs how universities operate daily, it has been vital in academia to put substantial effort into creating schedules of the highest caliber. To create schedules that satisfy all stakeholders, various approaches have been tried to solve educational timetabling problems, which are typically NP-Hard. Over the past 20 years, several scheduling contests have been held with a focus on issues related to educational operations. In this paper, we focus on the Post Enrollment Course Timetabling Problem and two datasets from the International Timetabling Competitions held in 2002 and 2007. We propose a local search procedure augmented by a base mathematical model and variations of this model that yields competitive results, within reasonable execution times, to some of the best-known solutions.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124257730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kyriakos Skoularikis, I. Savvas, G. Garani, George Kakarontzas
We live in a society where a massive quantity of data is generated daily on online social network platforms. This enormous data contains vital opinion-related information that many companies and other scientific and commercial industries are trying to exploit for their benefits. For that purpose, sentiment analysis is required. Sentiment analysis or opinion mining is the branch of data analytics for extracting sentiments from messages expressed by users on a particular subject. Although, in the past years a considerable research has been made for the English language, the works of Sentiment Analysis in Greek language is not so popular, due to smaller user base. In this work, we provide a method to create domain-specific dictionaries given a corpus of tweets in the Greek language. In those Lexicons, we take into consideration the significance of each word for the specific domain, by introducing a new attribute Weightw. Also, we deploy a hybrid framework which utilizes the newly created domain-specific Lexicon with the Naïve Bayes classifier to analyze and predict the sentiment of each tweet. Our framework has the ability to merge the better of the two basic concepts, the Lexicon and Machine Learning method, and demonstrates the significance of the words for domain-specific Lexicon, for achieving optimal results when performing Sentiment Analysis.
{"title":"Developing a Domain-Specific Lexicon for the Greek Language","authors":"Kyriakos Skoularikis, I. Savvas, G. Garani, George Kakarontzas","doi":"10.1145/3575879.3576004","DOIUrl":"https://doi.org/10.1145/3575879.3576004","url":null,"abstract":"We live in a society where a massive quantity of data is generated daily on online social network platforms. This enormous data contains vital opinion-related information that many companies and other scientific and commercial industries are trying to exploit for their benefits. For that purpose, sentiment analysis is required. Sentiment analysis or opinion mining is the branch of data analytics for extracting sentiments from messages expressed by users on a particular subject. Although, in the past years a considerable research has been made for the English language, the works of Sentiment Analysis in Greek language is not so popular, due to smaller user base. In this work, we provide a method to create domain-specific dictionaries given a corpus of tweets in the Greek language. In those Lexicons, we take into consideration the significance of each word for the specific domain, by introducing a new attribute Weightw. Also, we deploy a hybrid framework which utilizes the newly created domain-specific Lexicon with the Naïve Bayes classifier to analyze and predict the sentiment of each tweet. Our framework has the ability to merge the better of the two basic concepts, the Lexicon and Machine Learning method, and demonstrates the significance of the words for domain-specific Lexicon, for achieving optimal results when performing Sentiment Analysis.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124578876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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