
Paolo FornacciariUniversity of Parma | UNIPR · Computer Engineering Group
Paolo Fornacciari
Doctor of Philosophy
About
28
Publications
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Introduction
In 2015 he obtained a laurea cum laude in Computer Engineering at the University of Parma. During his career, he did different tutoring activities on Python and C++. In 2018 he received his doctorate in Computer Science and he has been a postdoctoral researcher in the 2019 (Department of Information Engineering, University of Parma). His research activity has been focused on Machine Learning Algorithms for Text Classification and Data Mining.
Publications
Publications (28)
In recent years, Sentiment Analysis has become one of the most interesting topics in AI research due to its promising commercial benefits. An important step in a Sentiment Analysis system for text mining is the preprocessing phase, but it is often underestimated and not extensively covered in literature. In this work, our aim is to highlight the im...
In Facebook, the set of pages liked by some users represents an important knowledge about their real life tastes. However, the process of classification, which is already hard when dealing with dozens of classes and genres, is made even more difficult by the very coarse information of Facebook pages. Our work originates from a large dataset of page...
Scopus is a well known repository of metadata about scientific research articles. In this work, we gather data from this repositiory to create a social graph of scientific authors, starting from citations among their articles. Moreover, using data mining techniques, we infer some relevant research topics for each author, from the textual analysis o...
Social networking systems can be considered one of the most important social phenomena because they succeeded in involving billions of people all around the world and in attracting users from several social groups, regardless of age, gender, education, or nationality. Social networking systems blur the distinction between the private and working sp...
Why and how more and more people get involved and use social networking systems are critical topics in social network analysis (SNA). As a matter of fact, social networking systems bring online a growing number of acquaintances, for many different purposes. Both business interests and personal recreational goals are motivations for using online soc...
The phenomenon of “trolling” in social networks is becoming a very serious threat to the online presence of people and companies, since it may affect ordinary people, public profiles of brands, as well as popular characters. In this paper, we present a novel method to preprocess the temporal data describing the activity of possible troll profiles o...
Human Activity Recognition (HAR) is currently recognized as a key element of a more general framework designed to perform continuous monitoring of human behaviors in the area of Ambient Assisted Living (AAL), well-being management, medical diagnosis, elderly care, rehabilitation, entertainment and surveillance in smart home environments. In this pa...
ActoDatA (Actor Data Analysis) is an actor-based software library for the development of distributed data mining applications. It provides a multi-agent architecture with a set of predefined and configurable agents performing the typical tasks of data mining applications. In particular, its architecture can manage different users’ applications; it...
Hidradenitis Suppurativa (HS), also known as Acne Inversa, is a chronic, underdiagnosed, often debilitating and painful disease that affects the folds of the skin. It has a considerable negative impact on the quality of life and on the emotional well-being. In this paper we discuss some results obtained by applying automatic Emotion Detection and S...
In the last few years the amount of electronic data in high schools has grown tremendously, also as a consequence of the introduction of electronic logbooks, where teachers store data about their students’ activities: school attendance, marks obtained in individual test trials and the typology of these tests. However, all this data is often spread...
Social networking systems can be considered one of the most important social phenomena because they succeeded in involving billions of people all around the world and in attracting users from several social groups, regardless of age, gender, education, or nationality. Social networking systems blur the distinction between the private and working sp...
In the last few years, the impact of information spread through online social networks has continuously grown. For this reason, understanding the trustworthiness of news has become one of the most important challenges for an Internet user, especially during crisis events or in political, health and social issues. As part of a more comprehensive pro...
We present a comprehensive framework for managing reports sent to the local government by citizens through well-known instant messaging apps. It leverages a combined use of Web systems and automated bots, based on Machine Learning techniques. This project has been developed in collaboration with the local administration of Montecchio Emilia (Italy)...
Various techniques based on artificial intelligence have been proposed for the automatic detection of online anti-social behaviors, both in existing systems and in the scientific literature. In this article, we describe TrollPacifier, a holistic system for troll detection, which analyses many different features of trolls and legitimate users on the...
Why and how more and more people get involved and use social networking systems are critical topics in social network analysis (SNA). As a matter of fact, social networking systems bring online a growing number of acquaintances, for many different purposes. Both business interests and personal recreational goals are motivations for using online soc...
Agent-based modeling and simulation are some powerful techniques that are widely used with success for analyzing complex and emergent phenomena in many research and application areas. Many different reasons are behind the success of such techniques, among which an important mention goes to the availability of a great variety of software tools, that...
Identifying Relevant Sets, i.e., variable subsets that exhibit a coordinated behavior, in complex systems is a very relevant research topic. Systems that exhibit complex dynamics are, for example, social networks, which are characterized by complex and dynamic relationships among users. A challenging topic within this context regards the identifica...
Social media analysis is rapidly becoming awidespread tool for various applications. Motivations for interestrange from commercial marketing to the monitoring of socialtrends and political opinions. This work presents an actor-based platform, augmented with machine learning algorithms.To evaluate its possible application for the continuous analysis...
BOOK WEBSITE: http://www.igi-global.com/book/social-media-performance-evaluation-success/169445
There are many different social media platforms that provide a wide array of services. Exploring the results yielded by these platforms can enhance their usefulness and impact on society’s advancement.
Social Media Performance Evaluation and Success Me...
The most important technological trend of the last years has been the rise of socialnetworking systems to social phenomena involving hundreds of millions of people,attracting users from several social groups. Social networking systems blur thedistinction between the private and working spheres, and users use such systemsboth at home and in the work...
Social media are more and more frequently used by people to express their feelings in the form of short messages. This has raised interest in emotion detection, with a wide range of applications among which the assessment of users’ moods in a community is perhaps the most relevant. This paper proposes a comparison between two approaches to emotion...
Microblogging platforms like Twitter can convey
short messages to direct contacts, but also to other potentially
interested users. They are actively exploited either by individual
users or whole organizations and companies. This paper
describes some results we obtained from the Social Network and
Sentiment Analysis of a Twitter channel, related to...
Twitter is a platform which may contain opinions, thoughts, facts and
other information. Within it, many and various communities are originated by
users with common interests, or with similar ways to feel part of the
community. This paper presents a possible combined approach between Social
Network Analysis and Sentiment Analysis. In particular, we...