A literature review on sentiment analysis techniques involving social media platforms

S Garg, DS Panwar, A Gupta… - 2020 Sixth International …, 2020 - ieeexplore.ieee.org
Sentiment analysis refers to the active field of Natural language processing that extracts the
attitude and emotion of a human being. With the growth of social media, more people are …

Criminogenic and harm-enabling features of social media platforms: The case of sharenting practices

A Lavorgna, M Tartari… - European Journal of …, 2023 - journals.sagepub.com
Sharenting–that is, the sharing of identifying and sensitive information of minors, who are
often overexposed online by parents or guardians–has, at times, criminogenic potential, as …

Sharenting: A systematic review of the empirical literature

ŞB Tosuntaş, MD Griffiths - Journal of Family Theory & Review, 2024 - Wiley Online Library
Sharenting, the practice of parents publicly sharing information about their children on social
media, has become increasingly prevalent in recent years. The purpose of this study was to …

A deep learning–based approach for emotions classification in big corpus of imbalanced tweets

N Jamal, C Xianqiao, F Al-Turjman… - Transactions on Asian and …, 2021 - dl.acm.org
Emotions detection in natural languages is very effective in analyzing the user's mood about
a concerned product, news, topic, and so on. However, it is really a challenging task to …

Detecting violation of human rights via social media

Y Pilankar, R Haque, M Hasanuzzaman… - Proceedings of the …, 2022 - aclanthology.org
Social media is not just meant for entertainment, it provides platforms for sharing information,
news, facts and events. In the digital age, activists and numerous users are seen to be vocal …

A context aware embedding for the detection of hate speech in social media networks

S Kavatagi, R Rachh - 2021 International Conference on Smart …, 2021 - ieeexplore.ieee.org
Proliferation of social media platforms in recent past has resulted into upsurge in the number
of users. Advent of these sites have paved way for the users to easily express share and …

Identifying key challenges and needs in digital mental health moderation practices supporting users exhibiting risk behaviours to develop responsible AI tools: the …

E Nichele, A Lavorgna, SE Middleton - SN Social Sciences, 2022 - Springer
Digital platforms for mental health and wellbeing purposes have become increasingly
common to help users exhibiting risk behaviours (eg self-harming, eating-related disorders) …

Text Sentiment Analysis Model Based on Deep Learning

Z Li, P Liu, X Han, W Zhuo, J Ma, E Jaradat - International Conference on …, 2022 - Springer
In order to analyze text emotion through deep learning, this paper will carry out relevant
research. This paper first introduces the basic concepts of deep learning, then proposes the …

Dynamics of Indonesian Public Opinion on the Rohingya Crisis in Time Perspective Using Traditional Machine Learning and Deep Learning

RA Istiqomah, I Budi - The Indonesian Journal of Computer Science, 2024 - ijcs.net
The Rohingya are an ethnic minority who currently still face persecution and discrimination
in Myanmar, so they have to flee to neighboring countries, such as Indonesia. However, the …

La sovraesposizione digitale dei minori: un approccio multidimensionale al fenomeno dello sharenting

A Lavorgna, M Tartari - 2023 - torrossa.com
Il fenomeno dello sharenting sta diventando sempre più globale. La rapida ascesa dei
social media e di altri siti di networking online in tutto il mondo sta offrendo a molti …