Zobrazeno 1 - 10
of 96
pro vyhledávání: '"E. Sivasankar"'
Autor:
Madasu, Avinash, E, Sivasankar
Sentiment analysis is a domain of study that focuses on identifying and classifying the ideas expressed in the form of text into positive, negative and neutral polarities. Feature selection is a crucial process in machine learning. In this paper, we
Externí odkaz:
http://arxiv.org/abs/1911.00288
Autor:
Madasu, Avinash, E, Sivasankar
Sentiment Analysis refers to the study of systematically extracting the meaning of subjective text . When analysing sentiments from the subjective text using Machine Learning techniques,feature extraction becomes a significant part. We perform a stud
Externí odkaz:
http://arxiv.org/abs/1906.01573
Publikováno v:
In Computers & Security June 2023 129
Publikováno v:
Soft Computing. 25:3697-3711
Mostly sentiment analysis employs dictionary approaches for recognizing the polarity of terms in a review. However, in sentiment analysis between different domains called domain adaptation (DA), the sentiment lexicon disappoints that leads to the fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b6a52915374c0ed9144962bafbc9195
https://doi.org/10.1007/s00500-020-05400-x
https://doi.org/10.1007/s00500-020-05400-x
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811908392
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bce0c7f9a7b8eb2cc9eff14f934a44d1
https://doi.org/10.1007/978-981-19-0840-8_24
https://doi.org/10.1007/978-981-19-0840-8_24
Autor:
K. Krishnakumari, E. Sivasankar
Publikováno v:
International Journal of Advanced Intelligence Paradigms. 25:68
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d712d3c2ee4d17621693796dfa39554c
https://doi.org/10.1504/ijaip.2023.130816
https://doi.org/10.1504/ijaip.2023.130816
Publikováno v:
Soft Computing. 24:3975-3988
With the tremendous development of financial institutions, credit risk prediction (CRP) plays an essential role in granting loans to customers and helps them to minimize their loss because credit approval sometimes results in massive financial loss.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2054a851f497b296cae0afcfea9f6fa2
https://doi.org/10.1007/s00500-019-04167-0
https://doi.org/10.1007/s00500-019-04167-0
Publikováno v:
Soft Computing. 24:3511-3527
In-domain adaptation (DA), the knowledge trained in one domain, is used to test an unknown domain. Existing approaches use limited efforts on DA in sentiment classification (SC) using neural networks. The challenging task here is the dissimilarity in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e83a4751edd9379ecc6a5adbda8bc62d
https://doi.org/10.1007/s00500-019-04117-w
https://doi.org/10.1007/s00500-019-04117-w
Autor:
Sruthi Sathyamoorthy, E. Sivasankar
Publikováno v:
2020 International Conference on Innovative Trends in Information Technology (ICITIIT).
Machine learning models are used across domains for decision making these days. While the most important aspect of any model is its accuracy, the training time is also a crucial aspect in many applications. Some of the most powerful classification al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22b4e17e0e7091692d2f950fd40bb4f1
https://doi.org/10.1109/icitiit49094.2020.9071543
https://doi.org/10.1109/icitiit49094.2020.9071543
Autor:
C. Selvi, E. Sivasankar
Publikováno v:
Multimedia Tools and Applications. 78:14303-14330
The Recommender System (RS) plays an important role in information retrieval techniques in a bid to handle massive online data effectively. It gives suggestions on items/services to the target online user to ensure correct decisions quickly and easil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9d89a4fbecda42a0df57ad063d60da1
https://doi.org/10.1007/s11042-018-6790-y
https://doi.org/10.1007/s11042-018-6790-y