Eissa Alshari

Background

About Eissa Alshari

I am Eissa M. Alshari, born on January 1s, 1979, in Ibb, Yemen. I received my early education in my hometown and completed my higher secondary education from Khaled Bin Alwaleed, Ibb, Yemen. I then obtained a degree in computer science from the National Institute of Administrative Sciences in 2001. Following the completion of my higher diploma degree, I worked at Ibb University for eight years before earning my bachelor's degree in computer science from National University, Yemen, in 2009. From 2009 to 2011, I worked as a lecturer in several colleges in Yemen. I was fortunate to receive a scholarship from Ibb University to pursue a master's and Ph.D. degree. In 2014, I obtained a Master in Information Systems from Menofia University, Egypt, using Python programming language to implement natural language processing techniques in my thesis. In my recent Ph.D. research, which I completed in 2018 at Universiti Putra Malaysia (UPM), I developed an innovative approach to sentiment analysis using embedding vectors to extract new features for the training model, and implemented the methodology using Python programming language. I created both machine learning and deep learning models, trained and evaluated them using Python, and presented my findings using visualization techniques. Throughout my academic journey, my research interests have revolved around sentiment analysis, natural language processing (NLP), machine learning, and deep learning. By leveraging Python programming language in my implementation, I have been able to achieve greater efficiency and accuracy in my research. I believe my research has significant potential to contribute to the field of sentiment analysis and may have practical applications across various industries."