Nayeem Hasan Moon

Work place: Department of Computer Science, American International University Bangladesh, Dhaka, 1229, Bangladesh



Research Interests: Software, Software Construction, Software Development Process, Software Engineering


Nayeem Hasan Moon is from Dhaka, Bangladesh. He did his undergraduate in Computer Science & Engineering at American International University Bangladesh. He is highly interested in the development domain and learning more about various development tools and techniques. He is also extremely passionate about the data science domain. He is interested in doing further research on advanced web and software which will use data science technologies. He can be contacted at

Author Articles
A Comparison of Opinion Mining Algorithms by Using Product Review Data

By Sumaiya Sultana Sumaiya Rahman Eva Nayeem Hasan Moon Akinul Islam Jony Dip Nandi

DOI:, Pub. Date: 8 Aug. 2022

After release of Web 2.0 in 2004 user spawned contents on the internet eminently in abundant review sites, online forums, online blogs, and many other sites. Entire user generated contents are considerable bunches of unorganized text written in different languages that encompass user emotions about one or more entities. Mainly predictive analysis exerts the existing data to forecast future outcomes. Currently, a massive amount of researches are being engrossed in the area of opinion mining, also called sentiment analysis, opinion extraction, review analysis, subjective analysis, emotion analysis, and mood extraction. It can be an utmost choice whilst perceiving the meaning and patterns in prevailing data. Most of the time, there are various algorithms available to work with polling. There are contradictory opinions among researchers regarding the effectiveness of algorithms. We have compared different opinion mining algorithms and presented the findings in this paper.

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