Machine-Learning-Based Approaches for Multi-Level Sentiment Analysis of Romanian Reviews (2024)

Mathematics Authors Anamaria Briciu, A. Călin, Diana-Lucia Miholca, Cristiana Moroz-Dubenco, Vladiela Petrașcu, George Dascălu Abstract Sentiment analysis has increasingly gained significance in commercial settings, driven by the rising impact of reviews on purchase decision-making in recent years. This research conducts a thorough examination of the suitability of machine learning and deep learning approaches for…

Comparison of Data Models for Unsupervised Twitter Sentiment Analysis (2023)

Studia Universitatis Babeș-Bolyai Informatica Authors Sergiu Limboi Abstract Identifying the sentiment of collected tweets has become a challenging and interesting task. In addition, mining and defining relevant features that can improve the quality of a classification system is crucial. The data modeling phase is fundamental for the whole process since it can reveal hidden…

A Lexicon-based Feature for Twitter Sentiment Analysis (2022)

International Conference on Computational Photography Authors Sergiu Limboi, L. Dioşan Abstract Twitter Sentiment Analysis shows several challenges due to the platform’s features (e.g., short messages, colloquial style, etc.). People want to express their ideas related to personality, events, or breaking news. Social media is one of the fastest ways to express opinions, and research…

An unsupervised approach for Twitter Sentiment Analysis of USA 2020 Presidential Election (2022)

International Symposium on INnovations in Intelligent SysTems and Applications Authors Sergiu Limboi, L. Dioşan Abstract The USA presidential election in 2020 has aroused the interest of society as a whole. Social media plays an essential role in campaigns due to how people express their ideas about a candidate. Therefore, analyzing messages posted on environments…

A Validation Framework for ARP Similarity Measure (2021)

International Conference on Machine Learning and Applications Authors Sergiu Limboi, Mara Deac-Petrusel Abstract In the last years, a wide range of new similarity measures has been designed and applied to different contexts. Currently, there’s a deep lack in the validation and evaluation steps for novel similarities. In general, new measures are validated mostly through…