Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Anamaria Briciu"'
Autor:
Anamaria Briciu, Alina-Delia Călin, Diana-Lucia Miholca, Cristiana Moroz-Dubenco, Vladiela Petrașcu, George Dascălu
Publikováno v:
Mathematics, Vol 12, Iss 3, p 456 (2024)
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 a
Externí odkaz:
https://doaj.org/article/9b6af08878704a5fbd144ef2c0f2ed3e
Publikováno v:
Mathematics, Vol 10, Iss 15, p 2572 (2022)
Software authorship attribution, defined as the problem of software authentication and resolution of source code ownership, is of major relevance in the software engineering field. Authorship analysis of source code is more difficult than the classic
Externí odkaz:
https://doaj.org/article/f8da11a4f61a4da9a162aca2b411ea1f
Autor:
Anamaria BRICIU
Publikováno v:
Studia Universitatis Babes-Bolyai: Series Informatica, Vol 64, Iss 2 (2019)
Quantitative stylistic methods aim to express certain aspects of a text in numeric form, thus allowing the introduction of fast, powerful and accurate computational approaches for analysis. While in the case of literature, the validity and usefulness
Externí odkaz:
https://doaj.org/article/9ef03a20bb4948128437a6e87a69811a
Autor:
Anamaria BRICIU, Mihaiela LUPEA
Publikováno v:
Studia Universitatis Babes-Bolyai: Series Informatica, Vol 62, Iss 2 (2017)
In Natural Language Processing tasks, semantical and lexical resources are of paramount importance for efficient implementations of solutions. However, availability of tools for any other language than English is fairly limited, therefore leaving the
Externí odkaz:
https://doaj.org/article/61af80e8ab22436197312089b190166b
Publikováno v:
Procedia Computer Science. 207:716-725
Publikováno v:
Studies in Informatics and Control. 30:109-118
Publikováno v:
KES
Authorship attribution is the task of determining the likely author of a given text, with applications in domains such as literature and literary history, social network analysis, software engineering and cybersecurity. AutoAt, a deep autoencoder-bas
Autor:
Anamaria Briciu, Mihaiela Lupea
Publikováno v:
Computer Speech & Language. 57:128-145
RoEmoLex (Romanian Emotion Lexicon) is a resource developed for emotion detection in Romanian language, now at its third version. Initially translated automatically from an English version and containing terms annotated with eight primary emotions an
Autor:
Mihaiela Lupea, Anamaria Briciu
Publikováno v:
Studia Universitatis Babeș-Bolyai Informatica. 62:45-56
In Natural Language Processing tasks, semantical and lexical resources are of paramount importance for efficient implementations of solutions. However, availability of tools for any other language than English is fairly limited, therefore leaving the
Autor:
Mihaiela Lupea, Anamaria Briciu
Publikováno v:
ICCP
Mental health represents an important topic in the discussion about public health, as the prevalence of disorders increases, and the consequences are harder to manage. One way to address this problem is the use of computational methods to process soc