What's new in Graphext?

Our topics analysis tool has been enhanced with a new feature called "Describe Clusters." This feature significantly improves the way we group and name clusters of free text based on their similarity and the topics they cover.

Previous Method:

• Previously, clusters were named by combining significant terms from each cluster. While this method was functional, it often resulted in names that were difficult to read and did not effectively communicate the insights.

New Improvement:

• With the integration of OpenAI models, we now generate titles for clusters that are much more readable and contextually accurate. This enhancement takes into account the context of all paragraphs, ensuring that the titles are not only more human-readable but also more meaningful.

Example:

• When analyzing texts related to product management, if a cluster frequently mentions the word "design," the new feature will likely identify it as "UX/UI Design," aligning it more closely with the field of product management rather than general design.

Applications:

• This feature is highly beneficial for organizing and understanding reviews, transcripts, emails, survey answers, book paragraphs, and any other free text. It provides clear and concise cluster titles that enhance the overall analysis and communication of insights.

We are excited to bring you this update, which aims to make your text analysis experience smoother and more insightful.

🌟 New Features

🛠️ Improvements

🎨 UI Updates

Dear Graphext Users,

The Detail View 🔍 in the Graph and the New Node Cards🃏are now live for you to explore!

🔍 Detail View in the Graph:

Introducing a brand new mode in the Graph - the Detail View! Now, when you dive into your data, you can open a convenient side drawer right on your screen. This feature allows you to explore detailed information about each node in your graph with ease. Imagine having a magnifying glass 🔎 for your data - you can hover over any node, and the side panel instantly updates to display comprehensive information, making it ideal for digesting longer text reviews, images or exploring complex data relationships effortlessly.

🃏 New Node Cards:

With the new Node Cards, you have the power to customize each node's information by adding as many variables as you need. Think of it like having your own personalized top trump card for every node in your graph. Whether it's age, gender, name, email, phone number, or even a profile picture, you can now tailor your nodes to capture precisely the data that matters most to you.

As always, we're committed to enhancing Graphext based on your feedback, so please don't hesitate to reach out with any thoughts or suggestions.

The Graphext Team 💙

Dear Graphext Users,

Value Labels are here to make your data visualizations shine! Now, you will be able to add informative labels to your plots, bringing clarity and insight to every visualization even when exporting outside of Graphext.

📊 Flexible Functionality:

With Value Labels, you're in control. This feature allows you to customize how your data is displayed. Whether you want to showcase total numbers, relative percentages, or specific values for each segment, Value Labels have you covered. Plus, you can choose the position of your labels - inside or outside the bars - to suit your preference and presentation style.

🔍 Supported Plot Types:

Value Labels are available across a range of plot types, including:

• Bar Plots

• Boxplots

• Heatmaps

• Scatter Plots

No matter what type of data you're working with, Value Labels make it easier than ever to communicate key insights and trends effectively.

📈 Easier Exporting, Clearer Insights:

Value Labels make exporting static charts much more powerful. When you export your visualizations, your carefully chosen labels will stay put, ensuring that your insights are crystal clear even outside of the Graphext platform.

The Graphext Team 💙

🛠️ Improvements