- Xie et al., "Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy," Information Processing & Management, vol. 52, no. 1, pp. 61-72, 2016.
- Zhou, X. Wu, W. Zhao, S. Lawless and J. Liu, "Query expansion with enriched user profiles for personalized search utilizing folksonomy data," IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 7, pp. 1536-1548, 2017.
- Mikolov, K. Chen, G. Corrado and J. Dean, "Efficient estimation of word representations in vector space," arXiv preprint arXiv:1301.3781, 2013.
- Mikolov, I. Sutskever, K. Chen, G. S. Corrado and J. Dean, "Distributed representations of words and phrases and their compositionality," in Advances in neuralinformation processing systems, 2013, pp. 3111-3119.
- Saleh and N. El-Tazi, "Finding semantic relationships in folksonomies," In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), IEEE, 2018, pp. 174-181.
- Pittaras, G. Giannakopoulos, G. Papadakis, and V. Karkaletsis, "Text classification with semantically enriched word embeddings," Natural Language Engineering, pp. 1-35, 2020.
- C. Fernández-Reyes, J. Hermosillo-Valadez, and M. Montes-y-Gómez, “A prospect-guided global queryexpansion strategy using word embeddings,” Information Processing & Management, vol. 54, no. 1, pp. 1-13, 2018.
- Wang, M. Wang, and H. Fujita, "Word sense disambiguation: A comprehensive knowledge exploitation framework," Knowledge-Based Systems, vol. 190, p. 105030, 2020.
- D. Vo, Q. P. Nguyen, and C.-Y. Ock, "Semantic and syntactic analysis in learning representation based on a Sentiment analysis model," Applied Intelligence, vol. 50, no. 3, pp. 663-680, 2020.
- Habimana, Y. Li, R. Li, X. Gu, and G. Yu, "Sentiment analysis using deep learning approaches: an overview," Science China Information Sciences, vol. 63, no. 1, pp. 1-36, 2020.
- C. Dang, M. N. Moreno-García, and F. De la Prieta, "Sentiment analysis based on deep learning: A comparative study," Electronics, vol. 9, no. 3, p. 483, 2020.
- Luo, S. Chen, G. Xu, and J. Zhou, Trust-based collective view prediction, Springer, 2013.
- Cai and Q. Li, "Personalized search by tag-based user profile and resource profile incollaborative tagging systems," In Proceedings of the 19th ACM international conference on information and knowledge management, 2010, pp. 969-978.
- G. Noll and C. Meinel, "Web search personalization via social bookmarking and tagging," In The semantic web, Springer, 2007, pp. 367-380.
- Xu, S. Bao, B. Fei, Z. Su, and Y. Yu, "Exploring folksonomy for personalized search," In Proceedings of the 31st annual international ACM SIGIR conference on research and development in information retrieval, 2008, pp. 155-162.
- Rong, "word2vec parameter learning explained," arXiv preprint arXiv:1411.2738, 2014.
- Cambria, D. Olsher, and D. Rajagopal, "SenticNet 3: a common and common-sense knowledge base for cognition-driven Sentiment analysis," In Twenty-eighth AAAI conference on artificial intelligence, 2014.
Ghazale Etemadikhu is a graduate student in master of software engineering at the University of Science and Culture, Tehran, Iran. Her research interest is information retrieval.
Fatemeh Azimzadeh received a Ph.D. degree in Information Technology from University Putra Malaysia in 2012. Currently, she is an assistant professor in ACECR, Tehran, Iran. She is also the director of SID (Scientific Information Database) in Iran. Her research interests include information retrieval and information quality.
Abdalsamad Keramatfar is a Ph.D. student in information technology at the University of Qom and a data scientist at SID. He currently works in natural language processing and machine learning and specifically on multi-thread modeling of context for social media sentiment analysis. His research interests are artificial intelligence and natural language