Multi-word Aspect Term Extraction Using Turkish User Reviews

Nowadays, when an individual wants to buy any product or a company wants to take the pulse of public opinion about its product, user reviews of this product have become a valuable source of information. As a consequence of that, aspect based sentiment analysis has become popular research field which has also attracted the attention of researchers. In this study, we devised a method which extracts multi-word aspects from the Turkish user reviews. To investigate the reliability and the performance of the system, the frequency basis method based on Ngram by unifying finite state automata which are set for the recognition of the Turkish grammar rules were preferred. The success of the system was measured by using cell phones and by using hotel reviews. As a result, the success obtained is averagely 82% for cell phone domain and averagely 79% for hotel domain.