We discuss the use of hierarchical transformers for user semantic similarity in the context of analyzing users' behavior and profiling social media users. The objectives of the research include finding the best model for computing semantic user similarity, exploring the use of transformer-based models, and evaluating whether the embeddings reflect the desired similarity concept and can be used for other tasks.
Tag: twitter
The VaccinEU dataset of COVID-19 Vaccine Conversations on Twitter in French, German, and Italian
Despite the increasing limitations for unvaccinated people, in many European countries, there is still a non-negligible fraction of individuals who refuse to get vaccinated against SARS-CoV-2, undermining governmental efforts to eradicate the virus. Within the PERISCOPE project, we studied the role of online social media in influencing individuals' opinions about getting vaccinated by designing a … Continue reading The VaccinEU dataset of COVID-19 Vaccine Conversations on Twitter in French, German, and Italian
Large-Scale Analysis of On-line Conversation about Vaccines before COVID-19
Frequent words and co-occurrences used by pro-vaccination and anti-vaccination communities. In this study, we map the Twitter discourse around vaccinations in English along four years, in order to: discover the volumes and trends of the conversation; compare the discussion on Twitter with newspapers’ content; and classify people as pro- or anti- vaccination and explore how … Continue reading Large-Scale Analysis of On-line Conversation about Vaccines before COVID-19
The role of Big Data in Banks
I was listening at R. Martin Chavez, Goldman Sachs deputy CFO just last month in Harvard at the ComputeFest 2017 event, more precisely, the SYMPOSIUM ON THE FUTURE OF COMPUTATION IN SCIENCE AND ENGINEERING on "Data, Dollars, and Algorithms: The Computational Economy" held in Harvard on Thursday, January 19, 2017. His claim was that Banks are essentially API providers. The … Continue reading The role of Big Data in Banks
GSE Academic Award for Excellence for correlating twitter sentiment analysis and stock price variations
Ekaterina Shabunina recently graduated under my supervision as a M.Sc. student of the Como Campus of Politecnico di Milano with a thesis titled "Approach based on CRF to Sentiment Classification of Twitter Streams related to Companies". Thanks to the innovation of her work, she won the Grand Prize 2013 for the GSE Academic Award for … Continue reading GSE Academic Award for Excellence for correlating twitter sentiment analysis and stock price variations