Social media-based opinion retrieval for product analysis using multi-task deep neural networks
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference42 articles.
1. Araque, O., Corcuera-Platas, I., Śanchez-Rada, J. F., & Iglesias, C. A. (2017). Enhancing deep learning sentiment analysis with ensemble techniques in social applications. Expert Systems with Applications, 77, 236–246.
2. Bhoir, S., Ghorpade, T., & Mane, V. (2017). Comparative analysis of different word embedding models. In 2017 International conference on advances in computing, communication and Control (ICAC3) (pp. 1–4).
3. Botchway, R. K., Jibril, A. B., Kwarteng, M. A., Chovancova, M., & Oplatkov́a, Z. K. (2019). A review of social media posts from unicredit bank in europe: A sentiment analysis approach. In Proceedings of the 3rd International conference on business and information Management (pp. 74–79).
4. Chang, W., & Taylor, S. A. (2016). The effectiveness of customer participation in new product development: A meta-analysis. Journal of Marketing, 80, 47–64.
5. A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques;Basiri;Knowledge-Based Systems,2020
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