Topic Discovery – Latent Dirichlet Allocation

Topic discovery is an important research area, and one of the most important algorithms used in this field is Latent Dirichlet Allocation, which is an unsupervised learning algorithm based on statistics, and its inventor is Columbia University Professor David M Blei. In his research paper published in 2013 (click to view the paper), he gives the details of the algorithm. (He is the co-author with Andrew Ng and Michael I. Jordan) Until today, many variations of the algorithm are invented for different needs, but I mostly focused on the LDA algorithms that are capable to discover topics on short texts, such as Tweets. I will share the prominent extensions of LDA from this post.

 

 

 

Machine Learning Milan – Meetup

Today, I joined to the Meetup event Machine Learning in Milan, hosted by Marcosca in Via Bligny. It was the first meeting of this group, so there were a few people knowing each other. It had a great opportunity to meet with people having different backgrounds. The purpose of this group is to create a Machine Learning community in Milan by organizing meetups and events and then accelerate this ecosystem with startups and investors. I feel lucky since this event is realized when I was in Milan to do my personal issues. I thank everybody who contributed to this organization. The next meetup will be in 27 October. You may find the details from the Meetup app.

Data Management Platforms (DMP)

Today, the digital companies are working extensively to catch their potential customers on the web. Actually, the companies and consulting firms build their digital marketing strategies separately for each channel, in social media, paid media and their owned media channels.

At this point, there are many available Marketing tools and the some of the most prominent ones are Tealium and Adobe Marketing Cloud tools. Moreover, Data Management Platforms(DMP) enables more efficient targeting with the help of 3dr party data. Today, the trend is to upload the customer data to DMP platforms in order to get a revenue from the commercial campaigns of other companies. For example, if you want to target the mothers, who had a child in the last 3 months, you are able to target this specific segment through DMP platforms even though you don’t have any data related with mothers.

You may find current actors in DMP business, such as Oracle Blukai product from this link.