Introducing Lemmalytica

Welcome to Lemmalytica! This is the first post in a series of updates on the Lemmalytica App—a text analytics tool for storytelling. In this post, we'll introduce you to the app and its features, and show you how you can use it to analyze text data to discover the stories underneath.

What is Lemmalytica?

Lemmalytica provides a variety of tools and features to help you uncover hidden insights in your text data, including:

• Token Frequency Analysis: Analyze the frequency of words in your text data to identify key themes and topics.
• Sentiment Analysis: Analyze the sentiment of your text data to understand the emotional tone and context of the text.
• Named Entity Recognition: Identify and extract named entities (such as people, organizations, and locations) from your text data to understand the key entities in the text.

Getting Started

Using Lemmalytica is simple. Start by heading to the Dashboard, where you can enter your text for analysis. Click the Analyze button, and then use the navigation along the top to see the text statistics and entity statistics panes. Each of these panes gives detailed insights into your text data, which you can use to better understand the story your text is telling.

What's Next?

Lemmalytica is under active development, so we're constantly adding features, making updates, refining the user experience, and fixing bugs. If you have any feedback or suggestions for the app, please don't hesitate to reach out to us. We're always looking for ways to improve the app and make it more useful for our users.

Stay tuned for updates and examples on how to make the most of Lemmalytica for your text analytics and storytelling needs. Thank you for choosing Lemmalytica!