Knowledge Graph Generation and Enabling Multidimensional Analytics on Bangladesh Agricultural Data

Autor: Rudra Pratap Deb Nath, Tithi Rani Das, Tonmoy Chandro Das, S. M. Shafkat Raihan

Publikováno v: IEEE Access, Vol 12, Pp 87512-87531 (2024)

In Bangladesh, agriculture is a crucial driver for addressing Sustainable Development Goal 1 (no poverty) and 2 (zero hunger), playing a fundamental role in the economy and people’s livelihoods. To enhance the sustainability and resilience of the a

Externí odkaz: https://doaj.org/article/014f74dcf7c64a8299c9b0b5347dc6c1

Languages' impact on emotional classification methods

Autor: Alexander C. Eilertsen, Rudra Pratap Deb Nath, Peter Langballe Erichsen, Dennis Hojbjerg Rose, Rasmus Christensen

Publikováno v: Eilertsen, A C, Rose, D H, Erichsen, P L, Christensen, R E & Nath, R P D 2019, Languages' impact on emotional classification methods . in M Ganzha, L Maciaszek, L Maciaszek & M Paprzycki (eds), Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019 ., 8860017, IEEE, Federated Conference on Computer Science and Information Systems, vol. 18, pp. 277-286, 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019, Leipzig, Germany, 01/09/2019 . https://doi.org/10.15439/2019F143
FedCSIS

There is currently a lack of research concerning whether Emotional Classification (EC) research on a language is applicable to other languages. If this is the case then we can greatly reduce the amount of research needed for different languages. Ther

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccc7fdaf07f49af40a9401753fc65702
https://vbn.aau.dk/ws/files/320303316/143.pdf

SETL: A programmable semantic extract-transform-load framework for semantic data warehouses

Autor: Katja Hose, Oscar Romero, Torben Bach Pedersen, Rudra Pratap Deb Nath

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Nath, R, Hose, K, Pedersen, T B & Romero, O 2017, ' SETL : A programmable semantic extract-transform-load framework for semantic data warehouses ', Information Systems, vol. 68, pp. 17-43 . https://doi.org/10.1016/j.is.2017.01.005
Recercat. Dipósit de la Recerca de Catalunya
instname

In order to create better decisions for business analytics, organizations increasingly use external structured, semi-structured, and unstructured data in addition to the (mostly structured) internal data. Current Extract-Transform-Load (ETL) tools ar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8df1b19223a4dcdcf41437a98cccd96e
https://hdl.handle.net/2117/113594

Towards a Programmable Semantic Extract-Transform-Load Framework for Semantic Data Warehouses

Autor: Rudra Pratap Deb Nath, Katja Hose, Torben Bach Pedersen

Publikováno v: Nath, R, Hose, K & Pedersen, T B 2015, Towards a Programmable Semantic Extract-Transform-Load Framework for Semantic Data Warehouses . in ACM Eighteenth International Workshop On Data Warehousing and OLAP (DOLAP 2015) . vol. 23, Association for Computing Machinery, pp. 15-24, ACM Eighteenth International Workshop On Data Warehousing and OLAP, Melbourne, Australia, 23/10/2015 . https://doi.org/10.1145/2811222.2811229
DOLAP

In order to create better decisions for business analytics, organizations increasingly use external data, structured, semi-structured and unstructured, in addition to the (mostly structured) internal data. Current Extract-Transform-Load (ETL) tools a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d02a47d9710221e23d8fd49c252c9753
https://vbn.aau.dk/da/publications/0ca944cc-6593-4f09-b4c7-b1358ad35e89

Introducing active learning on Text to Emotion Analyzer

Autor: Muhammad Anwarul Azim, Rudra Pratap Deb Nath, Mahim-Ul Asad, Lily Dey, Nadia Afroz

Publikováno v: 2014 17th International Conference on Computer and Information Technology (ICCIT).

Now-a-days, online interpersonal communications have become more preferable than face-to-face interactions. However, emotions play a significant role in online communication. Automatic extraction of emotions from the text is a hot research issue beca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4fc55102bf4257a1efc8bfa94fe00152
https://doi.org/10.1109/iccitechn.2014.7073079