Author:
Pujari Chetana,Aiswarya ,Shetty Nisha P.
Reference24 articles.
1. Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends Inf. Retrieval 2(1–2), 1–135 (2008)
2. Liu, B., Hu, M., Cheng, J.: Opinion observer: analyzing and comparing opinions on the Web. In: Proceedings of the 14th International Conference on World Wide Web, WWW’05. ACM, New York, USA, pp. 342–351 (2005)
3. Sharma, R., Nigam, S., Jain, R.: Polarity detection at sentence level. Int. J. Comput. Appl. 86(11) (2014)
4. Cambria, E., Schuller, B., Xia, Y., Havasi, C.: New avenues in opinion mining and sentiment analysis. IEEE Intell. Syst. 28(2), 15–21 (2013)
5. Medhat, W., Hassan, A., Korashy, H.: Sentiment analysis algorithms and applications: a survey. Ain Shams Eng. J. (Production and hosting by Elsevier B.V. on behalf of Ain Shams University.) 5, 1093–1113 (2014)
Cited by
7 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. A Systematic Review With Recommendations on Intelligent Systems in Cognitive Healthcare;Advances in Medical Technologies and Clinical Practice;2024-02-23
2. A Detailed Sentiment Analysis Survey Based on Machine Learning Techniques;ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal;2023-12-19
3. A Study of Collocations in Sentiment Analysis;2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2023-05-04
4. Trust discovery and information retrieval using artificial intelligence tools from multiple conflicting sources of web cloud computing and e-commerce users;Artificial Intelligence and Machine Learning for EDGE Computing;2022
5. Fake Review Detection Using Sentiment Analysis and Deep Learning;2021 International Conference on Technological Advancements and Innovations (ICTAI);2021-11-10