Personality Identification from Social Media Using Deep Learning: A Review

Social media helps in sharing of ideas and information among people scattered around the world and thus helps in creating communities, groups, and virtual networks. Identification of personality is significant in many types of applications such as in detecting the mental state or character of a person, predicting job satisfaction, professional and personal relationship success, in recommendation systems. Personality is also an important factor to determine individual variation in thoughts, feelings, and conduct systems. According to the survey of Global social media research in 2018, approximately 3.196 billion social media users are in worldwide. The numbers are estimated to grow rapidly further with the use of mobile smart devices and advancement in technology. Support vector machine (SVM), Naive Bayes (NB), Multilayer perceptron neural network, and convolutional neural network (CNN) are some of the machine learning techniques used for personality identification in the literature review. This paper presents various studies conducted in identifying the personality of social media users with the help of machine learning approaches and the recent studies that targeted to predict the personality of online social media (OSM) users are reviewed

Emotional mapping of museum augmented places

Il mobile e ubiquitous learning è stato messo in relazione alle nuove tecnologie dell’informazione e della comunicazione che si trovano incorporate negli oggetti della vita quotidiana. Una varietà invisibile di strumenti integrati sono stati sviluppati e collegati a Internet. I confini tra apprendimento, gioco, simulazione o giochi di ruolo non sono chiaramente definiti. Ne consegue che anche una visita in luoghi di interesse culturale (es. musei, parchi archeologici, città storiche, trekking urbani ecc.), utilizzando uno smartphone o un tablet, potrebbe offrire un’esperienza educativa unica come descritto nelle sperimentazioni del format EMMAP (Emotional Mapping of Museum Augmented Places) presso il Museo Civico Archeologico "Giuseppe Moretti" di San Severino Marche, il Museo della Carrozza di Macerata e la passeggiata attorno alle mura urbiche di Macerata, per osservare la mostra “Poesia di Strada” in realtà aumentata. EMMAP è un format didattico che mira a sviluppare pedagogie innovative, utilizzando la tecnologia portatile, combinata con i codici QR, il broadcast e la realtà aumentata. Questi strumenti sono utili alla creazione di ambienti mobili e ubiqui di apprendimento idonei al coinvolgimento emotivo dei partecipanti in situazione di apprendimento autentico

Digit(al)isation in Museums: Civitas Project – AR, VR, Multisensorial and Multiuser Experiences at the Urbino’s Ducal Palace

Digit(al)isation of Cultural Heritage is a multidimensional process that helps in the rescue of European Cultural Identity, and the paradigm of Digital Cultural Heritage (DCH) is a valid instrument for social and cognitive inclusion of museum visitors. In light of disseminating and validating new paradigms for the enjoyment and exploitation of Cultural Heritage (CH) artifacts, this chapter shows main first results from CIVITAS (ChaIn for excellence of reflectiVe societies to exploit dIgital culTural heritAge and museumS). The project develops virtual/augmented environments, through the multisensorial interaction with virtual artworks, to satisfy needs and overcome limitations in a larger CH scenario, applying a bottom-up approach. The research presented show a robust and interdisciplinary approach applied to Ducal Pace at Urbino: key activities and faced challenges demonstrated to test cross-fertilization strategies, involving multilayered issues