27 citations · 69 across the 3 of their papers we have counts for
3 papers
Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages
Silvia García-Méndez, Francisco de Arriba-Pérez, Ana Barros-Vila +1
Microblogging platforms, of which Twitter is a representative example, are valuable information sources for market screening and financial models. In them, users voluntarily provid…
Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
Silvia García-Méndez, Francisco de Arriba-Pérez, Ana Barros-Vila +2
Financial news items are unstructured sources of information that can be mined to extract knowledge for market screening applications. Manual extraction of relevant information fro…
Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning
Silvia García-Méndez, Francisco de Arriba-Pérez, Ana Barros-Vila +1
Finance-related news such as Bloomberg News, CNN Business and Forbes are valuable sources of real data for market screening systems. In news, an expert shares opinions beyond plain…