This paper presents an analysis of the role of social media, specifically Twitter, in the context
of non-fungible tokens, better known as NFTs. Such emerging technology framing the …

Stock price prediction is a prevalent research field in both industry and academia. There is a
pressing demand to develop a prediction model that captures the pattern of the financial …

The covid-19 pandemic scenario caused the most extensive economic shocks the world has
experienced in decades. Maintaining financial performance and economic stability is …

The prevalence of social media has inspired multiple researchers to investigate the value of
information on various platforms. However, most studies focus on integrating individual …

The purpose of this paper is to review microblogging sentiment investors on a literature-
based. Focusing on defining and measuring online sentiment investors and understanding …

The fluctuations in stock prices are highly volatile and unpredictable which obstructs the
retail investors from making profitable investment decisions. In this context, a deep learning …

The main issue at the heart of this dissertation is the improvement of ML financial prediction
systems through the use of augmented training data. An overview and assessment of …

The change of stock prices has impacts on the sentiments of investors and vice versa. So, it
will be a feasible way to improve the prediction of stock prices using investing sentiments. In …

Each year large companies are required to submit written information about their
performance to investors. This text data provides an insider view of a companies trajectory …

The impact of NFT profile pictures within social network communities Page 1 23 June 2024
Alma Mater Studiorum Università di Bologna Archivio istituzionale della ricerca The impact …