Gridsum Holding Inc. (“Gridsum” or the “Company”) (NASDAQ: GSUM), a leading provider of cloud-based big-data analytics and artificial intelligence (“AI”) solutions in China, announced it had placed third at the AI Challenger 2018 Global Contest (“AI Challenger”), an event co-organized by Sinovation Ventures, Sogou (NYSE: SOGO), Meituan Dianping (HKSE: 3690) and Meitu Inc. (HKSE: 1357).
AI Challenger is an open dataset and programming contest for global AI talent. AI Challenger’s goal is to support the development of AI talent with high-quality and rich data resources, and to solve real world problems by accelerating the integration of research with business applications of AI. More than 10,000 teams from across the globe participated in this year’s contest. These teams competed in over 10+ brand-new datasets in different areas including opinion questions machine reading comprehension, English-Chinese machine translation, and fine-grained sentiment analysis of user reviews, which was the most popular category, where Gridsum placed third.
Online reviews are becoming the critical factor in making consumption decisions. Natural language processing (NPL) technologies in fine-grained sentiment analysis are the key to helping “the machine” to truly understand sentence structures and context. These technologies are hence more focused on the succession of a string of words, than on single word meaning, and perform high-accuracy sentiment mining on user comments. Effective application of these technologies target retail, e-commerce, catering, services and other user-review-involved scenarios.
Mr. Guosheng Qi, Chief Executive Officer of Gridsum, commented, “I am extremely pleased with our third place finish in the fine-grained sentiment analysis of user reviews category. We have consistently devoted resources towards NPL research. AI Challenger marks the first time we were able to apply our strong NPL capabilities in analyzing such a wide variety of user experiences and comments. I’m proud to see our team members challenging themselves to improve against such strong competition. We will continue to develop and innovate new AI and NPL solutions to better serve our clients and allow them to make better data-driven business decisions.”