NEW YORK--(Business Wire/Korea Newswire) June 27, 2017 -- Sentiment Symposium—Validating investor trust in its recent raise of $60 million in the fourth largest crowdfunding event in history, BPU Holdings Corporation (BPU) of Seoul, South Korea, (BPU International) today details its success as Social Strategist for now President Moon, Jae-in during his recent South Korean election bid. BPU’s CEO speaks on this subject at this week’s Sentiment Symposium in New York.
“The South Korean election work of BPU provides a case study of our progress integrating machine learning, natural language processing (NLP) and emotional intelligence into real-time data analytics,” states Oh, Sanggyoon, CEO for BPU Holdings. “Advanced artificial intelligence requires the human-like assessment of emotion. Our AEIOS is learning quickly how to interpret social behavior, thus adding this critical component for true AI.”
BPU consulted for the candidate on issues-driven social dialogue leveraging their Artificial Emotional Intelligence Operating System (AEIOS), machine learning, and accurate sentiment analysis. Precise predictive analytics powered positive sentiment, as well as estimates of voter turnout and projected election results within one percent of actual.
During the campaign, BPU’s AEIOS gave real-time clues as to emotional intent and intensity regarding the most important issues, as perceived by would-be voters using Twitter. BPU was then able to advise Moon on daily dialogue with voters. This real-time interaction solidified the candidate's growing lead, which ultimately resulted in victory for President Moon. In addition, the AEIOS predicted expected voter turnout and victory margin within one percent of the final outcome. This project follows on encouraging accuracy of BPU’s AEI research around the Trump/Clinton presidential race in the U.S.
“You might call this success our Moon App. We are making a lot of progress using more efficient proprietary data collection and processing methods,” states BPU CTO Art Nevarez. “Big data is now measured in Zettabytes, which requires that we leverage streamlined algorithms to provide the most relevant, timely analysis for decision making. Results so far in this infant world of AEI are very promising.”
BPU’s near decade of research bypasses much larger companies touting limited Sentiment Analysis. Some have announced simple APIs, while BPU’s AEIOS has support for both APIs and complete Sentiment Analysis applications (www.zimgo.com). While other platforms perform Syntax Analysis one sentence at a time, BPU’s AEI scores entire paragraphs, including emoticons. Others use a standard dictionary, while BPU interprets slang using configurable dictionaries. AEI provides Entity Recognition analysis, for people or organizations, over time by person, brand or entity.
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