OZONO Laboratory.
Nagoya Institute of Technology

AI for Low-frequency Data




Nowadays, with the growth of Natural language processing (NLP) and related fields, computer programs can translate text from one language to another, respond to spoken commands, and summarize large volumes of text rapidly—even in real time. Natural language processing (NLP) refers to the branch of Artificial Intelligence (AI) concerned with giving computers the ability to understand text and spoken words in much the same way human beings can. There are many applications of NLP in the form of voice-operated GPS systems, digital assistants, speech-to-text dictation software, customer service chatbots, and other consumer conveniences. NLP also plays a growing role in enterprise solutions, e-commerce, entertainment, health, education and many other fields. In our lab, works focus on new NLP methods that can be used to improve users’ experience.

One research in this category is the classification of reviews focusing on the components of a product. Product reviews on e-commerce websites are used by users for the purpose of efficiently gathering information of interest. However, product reviews are often not broken down by the parts or aspects mentioned, which makes information gathering difficult. This research focus on the assistance in review browsing by classifying and extracting reviews by the parts mentioned and their aspects.