Anandhi D
Biographic Data
| ID | 8968259 |
|---|---|
| NAME | Anandhi D |
| GIVEN NAMES | D |
| FAMILY NAME | Anandhi |
| SIGNATURE | D A |
| AFFILIATIONS | Meenakshi Academy of Higher Education and Research |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Cultural Analytics in Visual Arts: Using Data Science to Understand Aesthetic Trends
The presence of digital technologies and extensive digitization of collections of cultural heritage has established new possibilities in the use of data science approaches to the study of visual arts. Computational analysis Cultural analytics is a field of digital humanities that integrates computational analysis with large-scale art collections to explore aesthetic patterns. The study analyzes the applications of machine learning, computer visio…
Data Analytics in Audience Engagement and Cultural Participation
The digital revolution in the cultural and creative industries is the factor, which has radically changed the way the audience communicated with the cultural content and organizations. Digital platforms are becoming a more and more significant instrument which cultural organizations utilize in order to connect with more people, become more participatory, such as websites, social media, mobile applications, cultural archives on the Internet. It ha…
Social Science Perspectives on Audience Behavior in Performing Arts
Information on how the audience perceives, interpret and interact with the performance is vital in the case of artists, cultural institutions and policy makers. The paper will elaborate on the audience behavior in performing arts under the multi-disciplinary social science approach by incorporating the knowledge of sociology, psychology, and study of communication. Their paper reviews literature conducted regarding the aspect of audience research…
No prominent works on this page.
Cultural Analytics in Visual Arts: Using Data Science to Understand Aesthetic Trends
The presence of digital technologies and extensive digitization of collections of cultural heritage has established new possibilities in the use of data science approaches to the study of visual arts. Computational analysis Cultural analytics is a field of digital humanities that integrates computational analysis with large-scale art collections to explore aesthetic patterns. The study analyzes the applications of machine learning, computer visio…
Data Analytics in Audience Engagement and Cultural Participation
The digital revolution in the cultural and creative industries is the factor, which has radically changed the way the audience communicated with the cultural content and organizations. Digital platforms are becoming a more and more significant instrument which cultural organizations utilize in order to connect with more people, become more participatory, such as websites, social media, mobile applications, cultural archives on the Internet. It ha…
Social Science Perspectives on Audience Behavior in Performing Arts
Information on how the audience perceives, interpret and interact with the performance is vital in the case of artists, cultural institutions and policy makers. The paper will elaborate on the audience behavior in performing arts under the multi-disciplinary social science approach by incorporating the knowledge of sociology, psychology, and study of communication. Their paper reviews literature conducted regarding the aspect of audience research…
Analytics (2 works) · Big data (2 works) · Cultural Analytics (2 works) · Cultural Industries and Urban Development (2 works) · Data visualization (2 works) · Visual analytics (2 works) · Aesthetic Perception and Analysis (1 works) · Art History and Market Analysis (1 works) · Audience participation (1 works) · Audience reception (1 works)