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
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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.
Fight Organizational Bias with Unstructured Data
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2 m
Efforts to fight organizational bias often fall short. Lexalytics CEO Jeff Catlin explains how to use unstructured data to fight your own company’s biases.
Measuring Media’s Impact on Financial Markets with Sentiment Analysis
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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.
Let’s Talk AI Cooperation (Don’t Call it an “Arms Race”)
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6 m
Advances in artificial intelligence are usually framed as an arms race. Instead, let’s look at AI research through the sunnier lens of cooperation.
Voice of Employee Analytics: Step-by-Step Guide
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15 m
This guide shows how HR teams and workforce analysts can use Voice of Employee analytics to process and interpret unstructured employee feedback.
A Warm Welcome? Access to Advisory Services for Men and Women
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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.
People Analytics and Voice of Employee Programs Explained
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10 m
People Analytics and Voice of Employee programs take a data-driven approach to improving productivity and reducing turnover by analyzing employee feedback.
The Ultimate NLP Tuning FAQ: Sentiment, Topics and More
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11 m
Lexalytics Support Engineer Sarah Williams answers our users’ most frequently-asked questions about how to tune Lexalytics’ natural language processing.
Automatic Text Document Summarization Using Semantic-based Analysis
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1 m
In this research article, Chandra Shekhar Yadav explains why Lexalytics’ algorithm outperforms previous text document summarization methodologies.
Deepfakes Explained: What, Why and How to Spot Them
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7 m
As the 2020 elections loom near, AI-generated deepfakes are hitting the news cycle. But what are deepfakes? Why are they dangerous? And what can you do?
Variables of Twitter Activity That Influence Audience Spreading Behavior
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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.
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