Chief Data Scientist

This study ( doi.org/10.1016/j.jbusres.20… ) used a fixed-effects (FE) model to analyze panel data consisting of 900 monthly observations for 15 luxury brands. An interesting application of #bigdata analytics and natural language processing.

Undergraduate Admissions Process @Harvard and Affirmative Action Trial: nytimes.com/2018/10/19/us/ha…

Excellent examples for machine learning, #bigdata and artificial intelligence in marketing: forbes.com/sites/bernardmarr…

The debate on social bots: How do we draw the line between strive for quality information and censorship of free speech: wsj.com/articles/bots-vs-tro…

A #Bigdata must read: An introduction to information retrieval at nlp.stanford.edu/IR-book/. I find this book essential in my understanding of machine learning (#ML) and #NLP algorithms, which are valuable for #IoT and #AR products.

The learning curve for latent dirichlet allocation is very high for those without a good knowledge of Bayesian statistics.

Consumers engage brands by tweeting about their experiences and expectations of products and services by @account

This is a decent attempt with text mining. Extracting insights from the social bigdata of unstructured text is a huge challenge

How do you validate your results with #bigdata and text mining? Can you find anything new that is not found by traditional surveys?

Deep neural network (now renamed as deep learning) performs classification tasks well, when given #bigdata for training the model

If topic modeling is performed on tweets which are already classified per valence, the results can be more specific,producing more insights

The voice of the consumers, once heard, needs to be integrated with the product development and engineering process to see real benefit.

Brand sentiments and topical themes within industries can reveal brand positioning among competitors.

Machine learning and artificial intelligence: forbes.com/sites/bernardmarr…

Consumers sometimes turn to @Twitter as a last resort to complain about product and services. They also check tweets for promotions.

Extracting insights from the bigdata of unstructured text is a huge challenge.

From Big Data -> Big Insights via Artificial Intelligence: huffingtonpost.com/james-can…

A catalyst that transforms social big data of unstructured text into action is artificial intelligenc,including nlp, text mining, #ML, etc.

Use bigdata to create business insights. Image courtesy of photostock at FreeDigitalPhotos.net