5 Distinctively
built AI applications, a non-databank natural language processing system is effectively established
Centered upon Swarm Intelligence and Deep Learning technology, our unique algorithm supports double-byte character set language processing whereby it self-learns to sharpen sentiment analysis for
Cross-media sentiment monitoring
Our unique artificial swarm intelligence system monitors 20,000-35,000 news pieces and related discussions, analysing 500,000-1,200,000 comments online.
2013-14
Managed news channel of an online media, D100. Utilised “ASI Trend Detection” tool to raise the channel’s viewership and engagement rate. In a year, the channel’s subscription reached 300,000 subscribers, while subscribers ’engagement rate was much higher than Apple Daily’s Facebook subscribers.
2015
Deployed "ASI Trend Detection" tool into management of Facebook page of a RTHK programme "開心快活人", high-engagement videos were shortlisted around the world to enrich its content which raised the programme’s viewership by ten folds to 2 million in 12 months.
2016
Commissioned by HK Citizens News, "ASI Trending Movement Average", a prediction tool on social sentiment, was deployed to forecast outcome of the Legislative Council election. Built on online sentiment, voter’s intention was diligently derived which accurately predicted candidates winning in the Geographical Constituency of the years' election.
2017
The "AI non-databank Natural Language Processing system 1.0" was completed which crawls, self-learns, and expands databank as it dissects information collected on digital landscape, including local dialects and unique online expressions, a key step towards effective sentiment analysis.
2018
Integrated breakthroughs in Search Engine Optimisation and Voice-to-Text technology, and applied which in Youtube channel management of D100 with refined content strategy and broadcasting frequency, viewership of the channel shot up 4 folds while advertising revenue grew by 5 times. In the same year, Shoaling Limited was established.
2019
A new tool, "Heat Map" was created to unveil the hottest discussion topics identified on social media, leveraging on precision of “ASI Trending Movement Average” which accurately predicted on the unprecedented social phenomena such like number of protesters partook in anti-extradition bill demonstrations and bizarrely high voting rate, at 70%, in the District Council election in 2019. These successes rendered new investor's interest and ASIAM Holding Ltd was subsequently established in the same year.
2020
The “AI non-databank Natural Language Processing system 2.0” was completed with improved language processing capability that can detect noun, verb, adjective and even nicknames in a sentence, which further inflated efficiency in sentiment analysis. Managing Youtube Channels of 2 TV stations, 2 online radio stations and 4 KOLs in Hong Kong. Offering Sentiment Monitoring Services to Government departments, listed companies, statutory bodies, and universities; Online Reputation Management and Crisis Mitigation Services subscribed by several listed companies.
Our Services
- Real-time public sentiment monitoring
- News sentiment diagnoses
- Trend prediction
Public Sentiment Analysis
Via ASI big data analytics, effectively quantify public sentiment on a specific brand, a public figure, or a topical issue to predict its evolvement and evaluate its impact
- Content strategy
- SEO strategy
- Google booming
Online Reputation Management
Shapes online perception using big-data derived content strategies to attain promising search results and exposure while fending off threats and malicious attacks with precise control measures
- Real-time public sentiment monitoring
- Crisis mitigation strategy
- Crisis communication management
Crisis Management
With real-time analytics on public sentiment and preceptive predictions, ASI analytics endures time-pressure, guides responses, allowing our clients to stay on top of a molten issue detrimental to brand equity and corporate reputation
- Content strategy
- SEO strategy
- Integrated platform management
Big Data Broadcasting
Integrates ASI big data analysis, machine learning and trend prediction to advance broadcast efficiency scaling up awareness, penetration, and profitability
- Content strategy
- SEO strategy
- Google bombing
YouTube Management
Deploys big-data content strategies to shape up content quality, viewership and engagement rate of a channel while putting in place meticulous controls safeguarding channel popularity and profitability
LOH, Chan
Chief Executive Officer
A media veteran with over 35 years, Loh led establishment of several 24-hour news and finance channels for TV stations and Radio stations in Hong Kong. He was a founding member of a popular newspaper, proficient in new media operation and management. Loh presided the Hong Kong News Executives Association in 2015 and 2016.
LEE, Joe
Director of Analytics & Strategy
Lee is a well-liked columnist and a professional analyst with more than 20 years of experience that covered both new and traditional media platforms, including Newspaper, TV station, Radio, Magazine and Website. He was a founding member of a Finance New Group.
LEUNG, Bong
Chief AI Architect
A well-established AI Architect with more than 12-years of hand-on experience in SEO, SEM, SMO and SMM consultancy in Australia. Utilising real-time online data analytics derived from artificial swarm intelligence algorithm, Leung specialised in building predictive models to track down contentious social issues and produce sensible alerts for clients including Australian government and large corporations. Since 2016, Leung has been establishing his big data analytics, SEO and SMO consultancy services in Hong Kong.
LAI, Kelvin
Chief Research Officer
Graduated in Engineering Department of Cambridge University, Lai possesses more than 20 years of experience in IT industry, where he led Strategy and Planning functions while also involved in business development feasibility studies for a wide-ranging business from banking, telecommunication, to eCommerce.