yassiracharki/Summaries-of-25-Scientific-Papers-by-yours-truly

📚Summaries of 25 Scientific Papers by yours truly

📚 My Summaries of 25 Scientific Papers all related to Deep Learning and NLP 📚

In this notebook, you will find a short (1-10 pages), summarie of 25 scientifique papers (Articles/reviews/conference papers etc ...)

Attention: The Pictures are not the full summary, it's just an overview, visit the link below the picture for the full summary

All these Summaries are writen by me Acharki Yassir, in light of my Master's Degree Final Project

The list of all the DOIs (Digital Object Identifiers) :

[1] Wadawadagi, R., Pagi, V. Sentiment analysis with deep neural networks: comparative study and performance assessment. Artif Intell Rev 53, 6155–6195 (2020).

[2] Agüero-Torales, Marvin M., José I. Abreu Salas, and Antonio G. López-Herrera. "Deep learning and multilingual sentiment analysis on social media data: An overview." Applied Soft Computing 107 (2021): 107373.

[3] Tang, Duyu, et al. "Sentiment embeddings with applications to sentiment analysis." IEEE transactions on knowledge and data Engineering 28.2 (2015): 496-509.

[4] Duncan, Brett, and Yanqing Zhang. "Neural networks for sentiment analysis on Twitter." 2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI CC). IEEE, 2015.*

[5] Zimbra, David, Manoochehr Ghiassi, and Sean Lee. "Brand-related Twitter sentiment analysis using feature engineering and the dynamic architecture for artificial neural networks." 2016 49th Hawaii International Conference on System Sciences (HICSS). IEEE, 2016.

[6] Shazly, Khadija, Marwa Eid, and Hanaa Salem. "An Efficient Hybrid Approach for Twitter Sentiment Analysis based on Bidirectional Recurrent Neural Networks." International Journal of Computer Applications 175.17 (2020): 32-36.

[7] Gao, Zhengjie, et al. "Target-dependent sentiment classification with BERT." Ieee Access 7 (2019): 154290-154299.

[8] Basiri, Mohammad Ehsan, et al. "A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets." Knowledge-Based Systems 228 (2021): 107242.

[9] Colón-Ruiz, Cristóbal, and Isabel Segura-Bedmar. "Comparing deep learning architectures for sentiment analysis on drug reviews." Journal of Biomedical Informatics 110 (2020): 103539.

[10] Liu, Siru, and Jialin Liu. "Public attitudes toward COVID-19 vaccines on English-language Twitter: A sentiment analysis." Vaccine 39.39 (2021): 5499-5505.

[11] Applications of Deep Learning to Sentiment Analysis of Movie Reviews.

[12] Shaukat, Zeeshan, et al. "Sentiment analysis on IMDB using lexicon and neural networks." SN Applied Sciences 2.2 (2020): 1-10.

[13] Preethi, G., et al. "Application of deep learning to sentiment analysis for recommender system on cloud." 2017 International conference on computer, information and telecommunication systems (CITS). IEEE, 2017.

[14] Li, Wei, et al. "BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis." Neurocomputing 467 (2022): 73-82.

[15] Pham, Duc-Hong, and Anh-Cuong Le. "Exploiting multiple word embeddings and one-hot character vectors for aspect-based sentiment analysis." International Journal of Approximate Reasoning 103 (2018): 1-10.

[16] Kotelnikova, A. V. "Comparison of Deep Learning and Rule-based Method for the Sentiment Analysis Task." 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). IEEE, 2020.

[17] Xu, Guixian, et al. "Sentiment analysis of comment texts based on BiLSTM." Ieee Access 7 (2019): 51522-51532.

[18] Dang, Nhan Cach, María N. Moreno-García, and Fernando De la Prieta. "Sentiment analysis based on deep learning: A comparative study." Electronics 9.3 (2020): 483.

[19] Jain, Anuja P., and Padma Dandannavar. "Application of machine learning techniques to sentiment analysis." 2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT). IEEE, 2016.

[20] Al-Saqqa, Samar, Ghazi Al-Naymat, and Arafat Awajan. "A large-scale sentiment data classification for online reviews under apache spark." Procedia Computer Science 141 (2018): 183-189.

[21] Assiri, Adel, Ahmed Emam, and Hmood Al-Dossari. "Real-time sentiment analysis of Saudi dialect tweets using SPARK." 2016 IEEE International Conference on Big Data (Big Data). IEEE, 2016.

[22] Bhuvan, Malladihalli S., et al. "Semantic sentiment analysis using context specific grammar." International Conference on Computing, Communication & Automation. IEEE, 2015.

[23] Das, Sushree, Ranjan Kumar Behera, and Santanu Kumar Rath. "Real-time sentiment analysis of twitter streaming data for stock prediction." Procedia computer science 132 (2018): 956-964.

[24] Gupta, Anand, et al. "A big data analysis framework using apache spark and deep learning." 2017 IEEE international conference on data mining workshops (ICDMW). IEEE, 2017.

[25] Alsheikh, Mohammad Abu, et al. "Mobile big data analytics using deep learning and apache spark." IEEE network 30.3 (2016): 22-29.

[26] Chowdhary, K. R. Fundamentals of artificial intelligence. New Delhi: Springer India, 2020.