Publisher
Springer International Publishing
Reference28 articles.
1. Abadi, M., et al.: TensorFlow: large-scale machine learning on heterogeneous systems (2015). https://www.tensorflow.org/
2. Barnes, J., Klinger, R., Walde, S.S.I.: Assessing state-of-the-art sentiment models on state-of-the-art sentiment datasets. arXiv preprint arXiv:1709.04219 (2017)
3. Advances in Intelligent Systems and Computing;K Chakraborty,2018
4. Chen, Y., Skiena, S.: Building sentiment lexicons for all major languages. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Vol. 2: Short Papers), pp. 383–389. Association for Computational Linguistics, Baltimore, Maryland, June 2014. https://doi.org/10.3115/v1/P14-2063
5. Chollet, F., et al.: Keras (2015). https://github.com/fchollet/keras
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Advancing Karakalpak Linguistics with Dictionary-Based Morphological Analysis: Implications for Text Correction Systems;2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM);2024-06-28
2. Developing named entity recognition algorithms for Uzbek: Dataset insights and implementation;Data in Brief;2024-06
3. Utilizing Lexicographic Resources for Sentiment Classification in Uzbek Language;2023 IEEE XVI International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering (APEIE);2023-11-10
4. Developing Rule-Based and Gazetteer Lists for Named Entity Recognition in Uzbek Language: Geographical Names;2023 IEEE XVI International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering (APEIE);2023-11-10
5. Dictionary-Based Medical Text Analysis in Uzbek: Overcoming the Low-Resource Challenge;2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB);2023-09-28