This is a continuation of my previous blog, “Natural Language Understanding – Application Notes with Context Discriminant”.
Natural Language Understanding (NLU) is a subtopic of Natural Language Processing (NLP). Successful implementations of NLU are difficult because of limitations in prevailing technology. SiteFocus solved these limitations with a new approach to NLU. This approach has been successfully…Continue
Business ventures based on existing or disruptive business models taking on the route of Initial Public Offering are always a challenge to investors who want to profit from early investment into those would be “unicorn IPO”. A good investment may get worse before it gets better. Others may get worse and never recover. Aside from the macroeconomics and consumer trends that could affect the outcome of such investments, the fundamentals of these new public offerings…Continue
Added by Sing Koo on October 31, 2017 at 2:30am — No Comments
In my last blog, I explained my “Animal Spirit Model,” which I used to consider Paddock the Vegas shooter and the fictitious character Jack Torrance (played by Jack Nicholson) in the 1980 horror movie “The Shining.” In this blog, I will be considering the character of Mrs. Torrance - Jack’s wife (played by Shelley Duvall). Below I present the computer generated description for Mrs. Torrance followed by her animal spirit on Excel. The descriptor program responds to the settings on the…Continue
Added by Don Philip Faithful on October 13, 2017 at 5:00am — No Comments
Deep Learning can be used to automate just about every repetitive task that is currently or formerly performed by humans. Factory robots, autonomous cars, Internet of Things are example of these automations. Yet, mentally challenging tasks such as conducting research or strategic planning with natural language textual documents remain a daunting task for automation. We look into the root cause of this challenge and have implemented a solution to automate these…Continue
Added by Sing Koo on October 6, 2017 at 1:00pm — No Comments
Recently, I have been working on the Neural Networks for Machine Learning course offered by Coursera and taught by Geoffrey Hinton. Overall, it is a nice course and provides an introduction to some of the modern topics in deep learning. However, there are instances where the student has to do lots of extra work in order to understand the topics covered in full detail.
One of the assignments in…Continue
Added by Burak Himmetoglu on December 17, 2016 at 10:00am — No Comments
This blog contains some snippets of code that I tend to use in Java. I acknowledge that somebody else writing this blog might include different code. Except for a short course at Sun Educational Services, most of my Java programming skills are self-taught. I’m unsure if people with formal backgrounds in computer science might have different styles and conventions. Mine have been shaped primarily by my needs.
Creating a Graphical User Interface…Continue
Added by Don Philip Faithful on November 6, 2016 at 8:00am — No Comments
This post highlights a number of important applications found for deep learning so far. It is well known that 80% of data is unstructured. Unstructured data is the messy stuff every quantitative analyst tries to traditionally stay away from. It can include images of accidents, text notes of loss adjusters, social media comments, claim documents and review of medical doctors etc. Unstructured data has massive potential but has never been traditionally considered as a source of insight before.…Continue
Added by Syed Danish Ali on June 26, 2016 at 5:00am — No Comments
With the holiday shopping season officially kicked off, sales data is on everyone's mind. But that's not the only data people are talking about. Talk of data brokers and consumer tracking is becoming more commonplace, as is a certain backlash against big data. This week, we highlight some articles touching on these subjects and round out the discussing with some coverage of natural language processing techniques.
Everyone knows about online…Continue
Added by Brian Rowe on December 1, 2015 at 1:01pm — No Comments
The first computer program that I encountered mimicking or emulating human interaction through language was called "Eliza." The version that I knew ran on the Commodore PET. It communicated in English. Eliza made comments that made some sense but which indicated lack of understanding of the conversation. If a person mentions "mother," Eliza might…Continue
Added by Don Philip Faithful on June 20, 2015 at 5:06am — No Comments
The cornerstone of the small work done for getting the info for these great charts with IEPY, was to be able to catch mentioned companies.
Click here for an interactive version of this chart…Continue
Organizations are struggling with a fundamental challenge – there’s far more data than they can handle. Sure, there’s a shared vision to analyze structured and unstructured data in support of better decision making but is this a reality for most companies? The big data tidal wave is transforming the database management industry, employee skill sets, and business strategy as organizations race to unlock meaningful connections between disparate sources of…Continue
Summary: Gartner says that predictive analytics is a mature technology yet only one company in eight is currently utilizing this ability to predict the future of sales, finance, production, and virtually every other area of the…Continue
Added by William Vorhies on August 13, 2014 at 10:54am — No Comments
This weekend sees Super Bowl XLVIII come to New York (yes, we're well aware that the stadium is technically in New Jersey). Earlier this week one of our data scientists noticed the Empire State Building lights putting on quite a show. A quick search revealed that the iconic building's…Continue
Added by Nicholas Hartman on February 2, 2014 at 1:29pm — No Comments
By CKM Advisors Natural Language Analysis Team,
Last year we posted a popular piece offering our view on…Continue
By: Nicholas Hartman, Director at CKM Advisors
Today we'd like to share with you some fun charts that have come out of our internal linguistics research efforts. Specifically, studying weather events by analyzing social media traffic from Twitter.
We do not specialize in social media and most of our data analytics work focuses on the…Continue
Added by Nicholas Hartman on December 15, 2013 at 7:24pm — No Comments