AI News, Machine learning algorithms dive into GE14 battle on Twitter-verse

Machine learning algorithms dive into GE14 battle on Twitter-verse

OVER the last couple of years, the power of data analytics has been cast in a negative albeit powerful limelight as a social-shaping, highly impactful kingmaker tool in a nation’s election.

Taking pride as a Malaysia-grown regional enterprise, the Center of Applied Data Science (CADS) seized the opportunity of the 14th Malaysian General Election to showcase how data analytics can leverage upon morally-ethical data sources and still produce highly-impactful, game-changing insights that can ultimately be used to decide the winning coalition in the Malaysian GE 14.

We then employed machine learning algorithms as well as data collection and cleansing, sentiment analysis, online behaviour analysis, topic modelling and influencers’ network detection in generating actionable insights.

Bolstered with a strong 76% accuracy level corroborated by our internal validation team, we were able to establish that the “stickiness” of the election engine for the Barisan National coalition, the Pakatan Harapan coalition and the Parti Agama Semalaysia (PAS) coalition each depended on different trigger points when it came to garnering support or even establishing defences.

With increasing scepticism towards Malaysian local media, the Pakatan Harapan coalition, which owns a commanding dominance in the usage of digital social media as an election engine, has built a reliance on foreign publications and media to build the required image to support their election campaign.

BN to see nearly 8% Malay vote swing to Pakatan in peninsula — poll

BN to see nearly 8% Malay vote swing to Pakatan in peninsula — poll KUALA LUMPUR: Almost 8% of the Malay votes for Barisan Nasional (BN) may swing to ...

Under siege in Kelantan

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