Sumaiya Rahman Eva

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



Research Interests: Software Creation and Management, Software Engineering, Computer systems and computational processes, Systems Architecture, Data Mining, Database Management System, Data Structures and Algorithms


Sumaiya Rahman Eva have recently graduated from American International University Bangladesh in Computer Science and Engineering. She has interests in Software Engineering, Management information systems, and Data Science, Data processing, Data mining algorithms, etc. She wants to do further research work in the data mining field. She can be contacted through

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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