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…
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…
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…
Symposium on Symbolic and Numeric Algorithms for Scientific Computing Authors Roxana Sipos-Lascu, L. Dioşan Abstract Image processing applications include image classification, image segmentation, image synthesis and many others. Each such task depends on extracting an effective set of features to characterize the images, and texture analysis has proven to output some of the most…
International Conference on Knowledge Discovery and Information Retrieval Authors Sergiu Limboi, L. Dioşan Abstract Twitter Sentiment Analysis is demanding due to the freestyle way people express their opinions and feelings. Using only the preprocessed text from a dataset does not bring enough value to the process. Therefore, there is a need to define and…
Journal of Communications Software and Systems Authors C. Coste, Darius Bufnea Abstract Online publishers rely on different techniques to trap web visitors, clickbait being one such technique. Besides being a bad habit, clickbait is also a strong indicator for fake news spreading. Its presence in online media leads to an overall bad browsing experience…