A novel auto-annotation technique for aspect level sentiment analysis
In machine learning, sentiment analysis is a technique to find and analyze the sentiments hidden in the text. For sentiment analysis, annotated data is a basic requirement. Generally, this data is manually annotated. Manual annotation is time consuming, costly and laborious process. To overcome thes...
| Main Authors: | Qureshi, M.A., Asif, M., Hassan, M.F., Mustafa, G., Ehsan, M.K., Ali, A., Sajid, U. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.28891 / |
| Published: |
Tech Science Press
2022
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116978167&doi=10.32604%2fcmc.2022.020544&partnerID=40&md5=aed2a466cdb4768e746038efac162ce0 http://eprints.utp.edu.my/28891/ |
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