Detection of financial opportunities in micro-blogging data with a stacked classification system

arXiv:2404.07224v1 Announce Type: cross
Abstract: Micro-blogging sources such as the Twitter social network provide valuable real-time data for market prediction models. Investors' opinions in this network follow the fluctuations of the stock markets and often include educated speculations on market opportunities that may have impact on the actions of other investors. In view of this, we propose a novel system to detect positive predictions in tweets, a type of financial emotions which we term "opportunities" that are akin to "anticipation" …

abstract arxiv blogging classification cs.ce cs.ir cs.lg cs.si data detection financial impact investors market markets micro network opinions opportunities prediction prediction models q-fin.st real-time social stock stock markets time data twitter type