When it comes to medical research, scientists are increasingly turning to social media data. In this article, researchers from Sant Baba Bhag Singh University use Lexalytics to study the impact of treatment and dietary practices on patients with diabetes.
We Used AI On 6,000 Game of Thrones Predictions
on
16 m
We mined 6,000+ Season 8 Game of Thrones predictions on Reddit. Then we used our AI to analyze them. Here’s what we found.
Measuring Media’s Impact on Financial Markets with Sentiment Analysis
on
1 m
In this paper, researchers show how NLP solutions like the Lexalytics Intelligence Platform can measure the impact of media in global financial markets.
A Warm Welcome? Access to Advisory Services for Men and Women
on
1 m
Swedish researchers use Semantria for Excel from Lexalytics as well as the Swedish-Language Pack to identify evidence of sexism in a data set of emails.
Automatic Text Document Summarization Using Semantic-based Analysis
on
1 m
In this research article, Chandra Shekhar Yadav explains why Lexalytics’ algorithm outperforms previous text document summarization methodologies.
Variables of Twitter Activity That Influence Audience Spreading Behavior
on
1 m
What factors determine whether or not a brand’s Twitter content is shared among its audience? Luis Matosas López uses the Lexalytics Intelligence Platform to investigate these questions.
ADHD: Disorder, Treatment and Perception
on
5 m
Our COO, Tim Mohler, stops by the blog to discuss how text analytics is used in pharmaceuticals and healthcare. In this case, it’s a powerful tool used to demystify the symptoms and treatment of ADHD. Dig and learn how unique groups of people experience and treat ADHD differently.
The Definitive Data-Driven Airport Ranking List
on
16 m
It’s hard to find consensus when it comes to airport rankings. Slideshows here, listicles there — it’s always a matter of conjecture and PR. That’s why the Lexalytics marketing team set out to define the definitive, data-driven ranking of America’s 10 busiest airports. Use this as a resource when planning all your travel and layovers.
Michael Flynn Doesn’t Know What He’s Talking About
on
3 m
Trump surrogate General Michael Flynn took to Twitter, expressing his outrage at the FBI’s speedy analysis of Hillary Clinton’s latest batch of emails. Here some facts he’s missing.
The Second Presidential Debate, An Analysis
on
4 m
We continue following the candidates through the rabbit hole of the debates. Processing key statements through our Salience text analytics engine allows for a new perspective on what is being said in the political arena.
Salience 6.2 is Here
on
2 m
What’s on offer for 6.2, our newest Salience update? Read this to get all the details on why Salience is better than ever before and how its still breaking boundaries in data science.
2016: An Analysis of the First Presidential Debate
on
4 m
Applying data science to politics is one way we can hold our elected representatives accountable. As the cacophony of the first Presidential debate settles, we turn our Salience engine onto each statement made by the candidates and see what was really said.
Or call us at 1-800-377-8036