Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ria A. Sagum"'
Autor:
Ria Ambrocio Sagum
Publikováno v:
Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12:5468-5474
The research focus on the issue of accuracy for sentiment analysis. The researcher experimented on emotion detection result to be used in sentiment analysis. The emotions that were included in this research are happiness, sadness, anger, and fear. On
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47900f9b8202ef5086b5d09d51a5058b
https://doi.org/10.17762/turcomat.v12i3.2204
https://doi.org/10.17762/turcomat.v12i3.2204
Autor:
Ria A. Sagum
Publikováno v:
Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12:5475-5478
The study developed a tool for identification of a Filipino Native Language given a textual data. The Filipino Language identified were Cebuano, Kapampangan and Pangasinan. It used Markov Chain Model for language modeling using bag of words (a total
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::886537086c1e9e8bd6dc33db82fdc696
https://doi.org/10.17762/turcomat.v12i3.2206
https://doi.org/10.17762/turcomat.v12i3.2206
Autor:
Mcs et. al., Ria Ambrocio Sagum
Publikováno v:
Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12:5447-5452
Recognition of license plate is the process of wherein photographic video or images of license plates are being captured and then processed using an application that implements series of algorithms that will provide the alpha numeric conversion of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::667191a5dbe2e311ba5c598aece1776d
https://doi.org/10.17762/turcomat.v12i3.2194
https://doi.org/10.17762/turcomat.v12i3.2194
Publikováno v:
2021 5th International Conference on Natural Language Processing and Information Retrieval (NLPIR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4af91853685644a64daf74e8b79d1be6
https://doi.org/10.1145/3508230.3508239
https://doi.org/10.1145/3508230.3508239
Publikováno v:
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c759085c91c7755f7d16e312b14e203d
https://doi.org/10.1109/hnicem54116.2021.9731908
https://doi.org/10.1109/hnicem54116.2021.9731908
Publikováno v:
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b89f7800cab6d7540879ec18fdc79cf
https://doi.org/10.1109/hnicem54116.2021.9731962
https://doi.org/10.1109/hnicem54116.2021.9731962
Publikováno v:
International Journal of Machine Learning and Computing. 9:103-107
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5eb6e921c8e5b2c3d69b64563e61bb2
https://doi.org/10.18178/ijmlc.2019.9.1.772
https://doi.org/10.18178/ijmlc.2019.9.1.772
Publikováno v:
Proceedings of the 6th International Conference on Communication and Information Processing.
The Named Entity Recognizer for Filipino Text is a study that aims on detecting and classifying named entities present in a given text utilizing the Filipino language. The named entities are classified into four, namely: person, place, organization,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2e9659b5b34f322df3bee5c8d0b71b9
https://doi.org/10.1145/3442555.3442572
https://doi.org/10.1145/3442555.3442572
Autor:
Mark Lean V. Magbanua, Joanne C. Castillo, John Rhio F. Saloma, Ria A. Sagum, Joseph Z. Fabian
Publikováno v:
International Journal of Computer and Communication Engineering. 4:22-25
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca424000883b56c864062f71f04fd489
https://doi.org/10.7763/ijcce.2015.v4.376
https://doi.org/10.7763/ijcce.2015.v4.376
Publikováno v:
International Journal of Future Computer and Communication. 3:363-366
Natural language is an easy and effective medium for describing visual ideas and mental images. thus, we forecast the appearance of language-based 2D scene generation systems to let ordinary users fast create 2D scenes without having to learn special
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9f636753d2fb664587d479eb8a846c4
https://doi.org/10.7763/ijfcc.2014.v3.328
https://doi.org/10.7763/ijfcc.2014.v3.328