Economics is a branch of social science that goes deeper than understanding the dynamics of supply and demand. In a steady-state, private sectors rely heavily
As Malaysia entering the 3rd phase of COVID19 lockdown with stringent movement control order and extension of MCO, people are beginning to adjust to the
The global pandemic COVID19 has changed the way we live, work and play. Malaysia has surpassed the 4,000 mark on 8th April 2020. Our internal
Social media has been rife with stories of the alleged mistreatment of stray animals from both the public and district council authorities. Video footage and
Overview Social media monitoring has become a critical tool in the aviation and airline industry, helping companies manage their reputation, manage daily operational customer-centric issues,
There is a reason why we continue to rely on automated tools (i.e softwares) to monitor social media – it saves us time. With few
Measuring consumer behaviour through social analytics is gaining popularity amongst marketers and social media analysts in the recent years.
This is not an assertion or a hypothesis. There have been research studies around the world, including a recent one by Indiana University Bloomington using Twitter data to predict the stock market. Behavioural finance researchers can now apply computational methods to large-scale social media data to better understand and predict markets.
In 2013, I spoke about the theory of “social media bubbles”. This concept was unheard of three to five years ago. However, the internet and social media such as Google, Facebook and Twitter have evolved and are now powered by sophisticated machine learning algorithms that work endlessly to predict user behaviour based on a set of online activities, mouse clicks and keywords. Some of the common machine learning algorithms used are Market-Basket Analysis, Naive Bayes Classifier and many other derivatives.
In the last decade or so, most of the decisions by communication strategists, agencies and PR practitioners are based on “folk theories”. It means theories that have been developed, tested and refined over time by practitioners about what works and what doesn’t, without much empirical evidence to validate the effectiveness of the campaign outcome and the rationale behind the campaign design.
Economics is a branch of social science that goes deeper than understanding the dynamics of supply and demand. In a steady-state, private sectors rely heavily
As Malaysia entering the 3rd phase of COVID19 lockdown with stringent movement control order and extension of MCO, people are beginning to adjust to the
The global pandemic COVID19 has changed the way we live, work and play. Malaysia has surpassed the 4,000 mark on 8th April 2020. Our internal
Social media has been rife with stories of the alleged mistreatment of stray animals from both the public and district council authorities. Video footage and
Overview Social media monitoring has become a critical tool in the aviation and airline industry, helping companies manage their reputation, manage daily operational customer-centric issues,
There is a reason why we continue to rely on automated tools (i.e softwares) to monitor social media – it saves us time. With few
Measuring consumer behaviour through social analytics is gaining popularity amongst marketers and social media analysts in the recent years.
This is not an assertion or a hypothesis. There have been research studies around the world, including a recent one by Indiana University Bloomington using Twitter data to predict the stock market. Behavioural finance researchers can now apply computational methods to large-scale social media data to better understand and predict markets.
In 2013, I spoke about the theory of “social media bubbles”. This concept was unheard of three to five years ago. However, the internet and social media such as Google, Facebook and Twitter have evolved and are now powered by sophisticated machine learning algorithms that work endlessly to predict user behaviour based on a set of online activities, mouse clicks and keywords. Some of the common machine learning algorithms used are Market-Basket Analysis, Naive Bayes Classifier and many other derivatives.
In the last decade or so, most of the decisions by communication strategists, agencies and PR practitioners are based on “folk theories”. It means theories that have been developed, tested and refined over time by practitioners about what works and what doesn’t, without much empirical evidence to validate the effectiveness of the campaign outcome and the rationale behind the campaign design.