Convolutional Neural Network Based Aspect-Based Sentiment Analysis of Apps Reviews for Requirements Elicitation

The smartphone apps market is growing rapidly which challenges app owners to continue improving their products and to compete in the market. The analysis of users’ feedback is a key enabler for improvements as stakeholders can utilize it to gain a broad understanding of the successes and failures of their products as well as those of competitors. That leads to generating evidence-based requirements and enhancing the requirements elicitation activities. Aspect-Based Sentiment Analysis (ABSA) is a branch of Sentiment Analysis that identifies aspects and assigns a sentiment to each aspect. Having the aspect information adds a more accurate understanding of opinions and addresses the limited use of the overall sentiment. However, the ABSA task using deep learning techniques has not yet been investigated in the context of smartphone apps reviews and requirements elicitation.