Work place: Department of Computer Science and Engineering, American International University Bangladesh, Dhaka
E-mail: kishor@aiub.edu
Website:
Research Interests: Medical Image Computing, Image Processing, Natural Language Processing, Computational Learning Theory
Biography
Md. Kishor Morol received his B.Sc. and M.Sc. Degrees in Computer Science from American International University-Bangladesh (AIUB) in December 2016 and December 2018, respectively. Currently He is working as a Lecturer in Computer Science department at AIUB since September, 2018. His research interests are Applied Machine Learning, Natural Language Processing, Deep learning and Data and Medical image processing.
By Plabon Kumar Saha Md. Ezaz Raihan Md. Tanvir Anjum Md. Kishor Morol
DOI: https://doi.org/10.5815/ijem.2022.02.03, Pub. Date: 8 Apr. 2022
In contemporary times startup is a very popular and growing entity, especially for the software industry as the technology field continues to grow. However, the failure rate of software startups is extremely high, and many reasons are behind this failure. There are many different variables behind the success or failure of a company. The purpose of this study is to mainly identify the possible reasons behind why the startups can’t reach the promise they are presumed to reach. To identify the reasons, company and employees of the company data were collected and analyzed using sentiment analysis and statistical correlation. Based on the analysis, some constructive suggestions were proposed accordingly. The discussion will enable the company employees and employers to bring out a transparent relation to ensure productive and satisfactory work environment. All the collected data for the study and the codes that were used to analyses the findings are attached below [28].
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