DEEP CONVOLUTIONAL NEURAL NETWORKS FOR SENTIMENT ANALYSIS OF CULTURAL HERITAGE
<p>The promotion of Cultural Heritage (CH) goods has become a major challenges over the last years. CH goods promote economic development, notably through cultural and creative industries and tourism. Thus, an effective planning of archaeological, cultural, artistic and architectural sites w...
Main Authors: | M. Paolanti, R. Pierdicca, M. Martini, A. Felicetti, E. S. Malinverni, E. Frontoni, P. Zingaretti |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-08-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W15/871/2019/isprs-archives-XLII-2-W15-871-2019.pdf |
Similar Items
-
SIGNIFICANCE. STOP ILLICIT HERITAGE TRAFFICKING WITH ARTIFICIAL INTELLIGENCE
by: D. Abate, et al.
Published: (2022-05-01) -
EXPLAINING AI: UNDERSTANDING DEEP LEARNING MODELS FOR HERITAGE POINT CLOUDS
by: F. Matrone, et al.
Published: (2023-06-01) -
ARTIFICIAL INTELLIGENCE AND CULTURAL HERITAGE: DESIGN AND ASSESSMENT OF AN ETHICAL FRAMEWORK
by: S. Pansoni, et al.
Published: (2023-06-01) -
Automatic Faults Detection of Photovoltaic Farms: solAIr, a Deep Learning-Based System for Thermal Images
by: Roberto Pierdicca, et al.
Published: (2020-12-01) -
A Visual Attentive Model for Discovering Patterns in Eye-Tracking Data—A Proposal in Cultural Heritage
by: Roberto Pierdicca, et al.
Published: (2020-04-01)