Utilizing Aspect-Based Sentiment Analysis to evaluate and enhance product quality

Aspect Based Sentiment Analysis is a type of natural language processing which determines all the product related aspects, including their positively/negatively evaluated by some people. In the real-world, ABSA caters for many functions, but among one of its chief operations is its application in the analysis of product reviews. Using ABSA one can detect the main features of a product for customers and their attitude towards each feature. Businesses can also use this knowledge to make better services, market them more accurately, and learn about potential customer support cases. Product reviewing remains one of the most potent instruments available for data collection using ABSA. With the advancement of the NLP technology, it is expected that ABSA will take over a larger part of the real-world application.