Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Subarmaniam Kannan"'
Publikováno v:
HighTech and Innovation Journal, Vol 5, Iss 1, Pp 109-128 (2024)
Aspect-level sentiment analysis is essential for businesses to comprehend sentiment polarities associated with various aspects within unstructured texts. Although several solutions have been proposed in recent studies in sentiment analysis, a few cha
Externí odkaz:
https://doaj.org/article/12eb1508566b4c5d8915a8111bb6e605
Autor:
Mikail Muhammad Azman Busst, Kalaiarasi Sonai Muthu Anbananthen, Subarmaniam Kannan, Rajkumar Kannan
Publikováno v:
Emerging Science Journal, Vol 8, Iss 1, Pp 61-76 (2024)
The proliferation of user-generated content on social networks and websites has heightened the significance of sentiment analysis, also known as opinion mining, as a critical tool for comprehending people’s attitudes toward various topics. Aspect-l
Externí odkaz:
https://doaj.org/article/e0ef7309f0b641fabad844f3042968d1
Autor:
Mikail Muhammad Azman Busst, Kalaiarasi Sonai Muthu Anbananthen, Subarmaniam Kannan, Jayakumar Krishnan, Sridevi Subbiah
Publikováno v:
IEEE Access, Vol 12, Pp 3528-3539 (2024)
Aspect extraction poses a significant challenge in Natural Language Processing (NLP). Extracting explicit and implicit aspects from online text data remains an ongoing challenge despite significant research efforts. Enhancing the accuracy and effecti
Externí odkaz:
https://doaj.org/article/9028d506298247e39ff5764755df5978
Autor:
Kalaiarasi Sonai Muthu Anbananthen, Sridevi Subbiah, Subiksha Gayathri Baskar, Ratchana Selvaraj, Jayakumar Krishnan, Subarmaniam Kannan, Deisy Chelliah
Publikováno v:
Emerging Science Journal, Vol 7, Iss 5, Pp 1636-1652 (2023)
The eye is an essential sensory organ that allows us to perceive our surroundings at a glance. Losing this sense can result in numerous challenges in daily life. However, society is designed for the majority, which can create even more difficulties f
Externí odkaz:
https://doaj.org/article/632ba94575844b39b4f84a6b10c49d2e
Autor:
Mercelin Francis, Kalaiarasi Sonai Muthu Anbananthen, Deisy Chelliah, Subarmaniam Kannan, Sridevi Subbiah, Jayakumar Krishnan
Publikováno v:
Emerging Science Journal, Vol 7, Iss 2, Pp 480-497 (2023)
Deep learning and its models have provided exciting solutions in various image processing applications like image segmentation, classification, labeling, etc., which paved the way to apply these models in agriculture to identify diseases in agricultu
Externí odkaz:
https://doaj.org/article/fd80ef6c54094036ace60f1d9a012d8c
Autor:
Kalaiarasi Sonai Muthu Anbananthen, Mikail Bin Muhammad Azman Busst, Rajkumar Kannan, Subarmaniam Kannan
Publikováno v:
Emerging Science Journal, Vol 7, Iss 1, Pp 102-115 (2022)
Diabetes mellitus is one of medical science’s most important research topics because of the disease’s severe consequences. High blood glucose levels characterize it. Early detection of diabetes is made possible by machine learning techniques with
Externí odkaz:
https://doaj.org/article/c6d5bc3cf04b4df9ad9a419b1183a4f3
Autor:
P. Sharmila, Kalaiarasi Sonai Muthu Anbananthen, Deisy Chelliah, Sudhaman Parthasarathy, Subarmaniam Kannan
Publikováno v:
IEEE Access, Vol 10, Pp 105366-105376 (2022)
Automatic hate speech identification in unstructured Twitter is significantly more difficult to analyze, posing a significant challenge. Existing models heavily depend on feature engineering, which increases the time complexity of detecting hate spee
Externí odkaz:
https://doaj.org/article/748630f690704159be8e5dfa2a372408
Autor:
Adebayo Mustapha Bakare, Kalaiarasi Sonai Muthu Anbananthen, Saravanan Muthaiyah, Jayakumar Krishnan, Subarmaniam Kannan
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1685 (2023)
Several key challenges are faced during sentiment analysis. One major problem is determining the sentiment of complex sentences, paragraphs, and text documents. A paragraph with multiple parts might have multiple sentiment values. Predicting the over
Externí odkaz:
https://doaj.org/article/bf86c4a156fb469fac858441111e5961
Autor:
Sridevi Subbiah, Kalaiarasi Sonai Muthu Anbananthen, Saranya Thangaraj, Subarmaniam Kannan, Deisy Chelliah
Publikováno v:
Journal of Communications and Networks. 24:264-273
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 1083:012091
Wi-Fi hotspot or Access point indicates many threats that lead to compromise a user’s identity, personal data, and network integrity. Therefore, this will uncover the users to the adversaries who deploy Rogue Access Point (RAP) by purpose to pilfer