ISSN:
2078-2489
Publisher:
MDPI
Disciplines
(Field of Science):
- information and communication technology (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- management and quality studies (Social studies)
- computer and information sciences (Natural sciences)
(Field of Science)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 40 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 40 | Ministry scored journals list 2024 |
2023 | 40 | Ministry Scored Journals List |
2022 | 40 | Ministry Scored Journals List 2019-2022 |
2021 | 40 | Ministry Scored Journals List 2019-2022 |
2020 | 40 | Ministry Scored Journals List 2019-2022 |
2019 | 40 | Ministry Scored Journals List 2019-2022 |
2018 | 15 | Journals not listed on ministry scored list indexed in SCOPUS/Web of Science |
2017 | 15 | Journals not listed on ministry scored list indexed in SCOPUS/Web of Science |
2016 | 0 | unscored |
2015 | 0 | unscored |
2014 | 0 | unscored |
2013 | 0 | unscored |
Model:
Open Access
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 6.9 |
Year | Points |
---|---|
2023 | 6.9 |
2022 | 5.8 |
2021 | 4.2 |
2020 | 3 |
2019 | 2.4 |
2018 | 1.7 |
2017 | 1.3 |
2016 | 1.1 |
2015 | 1.6 |
2014 | 1.4 |
2013 | 1 |
2012 | 0.5 |
Impact Factor:
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Sherpa Romeo:
Papers published in journal
Filters
total: 2
Catalog Journals
Year 2024
Year 2018
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Improving the Accuracy in Sentiment Classification in the Light of Modelling the Latent Semantic Relations
PublicationThe research presents the methodology of improving the accuracy in sentiment classification in the light of modelling the latent semantic relations (LSR). The objective of this methodology is to find ways of eliminating the limitations of the discriminant and probabilistic methods for LSR revealing and customizing the sentiment classification process (SCP) to the more accurate recognition of text tonality. This objective was achieved...
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