Qualitative Research and Thematic Analysis with Text Visualization and GPT AI
Use InfraNodus to reveal high-level ideas and recurrent themes in open-ended survey responses and questionnaires. Find the gaps and bridge them using the built-in GPT AI.
Watch an Introduction
Watch an Introduction
Qualitative Analysis with InfraNodus
InfraNodus performs visual analysis of interviews, open-ended survey responses, and questionnaires for you, revealing the main concepts and themes, as well as the structural gaps that can be used to generate new ideas and better understand what's missing.
Thematic Analysis Workflow:
Import your open survey responses and questionnaire data, detect the clusters of main topics inside. Unlike other tools, InfraNodus shows you the results in context (e.g. "battery" connected to "life").
Use the advanced BERT AI model to reveal the sentiment in your responses. Filter the results by sentiment to see what the negative respondents are talking about.
Use the integractive graph to find the parts of the respondents' discourse that seems interesting to you. Zoom in and find the reviews that contain a certain term.
Identify the structural gap (the ideas that are not yet connected) and use the built-in GPT AI to generate ideas that would fulfil this gap.
Step by Step Open Survey Responses Analysis Tutorial:
Check out this help article from our support center, which demonstrates a workflow for performing open survey data analysis:
Survey Responses Data Analysis
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Real Graph Examples
Start Using InfraNodus
Sign up for an account now, so you can get insight using this tool for your own data and texts.
How Text Network Analysis Works
Network analysis and graph visualization help you cope with the informational overload and make sense of data.
Here is how it works:
1. Add Any Text or Data
You can use this approach for your research, questionnaire data analysis, creative writing, marketing feedback study, SEO purposes, news analysis, etc.
Add any text, notes, or import your text files, CSV spreadsheets, Twitter feed, Google search results, RSS feeds, and more.
The text is converted into a graph where the words are the nodes and the co-occurrences are the connections between them, so you can see all your disjointed bits and pieces of data at once, as a big picture.
2. Get a Visual Overview
The network will then be generated from the text or data you added. The most influential words in the graph (nodes with the highest influence based on betweenness centrality measure) are shown bigger, while the words (nodes) that occur more often together are aligned into topical clusters and have distinct colors.
The graph will show you not only the main topics and the most influential terms, but also the relations between them, making it a much better visual summary tool than the traditional tagclouds.
3. Generate Insight
InfraNodus will identify the structural gaps in the network: parts of the graph that could be connected but are not.
It will propose you the different ways how you can bridge these gaps to produce insight and generate new ideas. You can do that yourself or use built-in GPT AI to generate ideas for you.
You can also export your data as a CSV / text file (with all the InfraNodus insights) for further analysis or to use as a training data for your neural network applications.
Our Methodology in Detail
To learn more about the algorithms used in InfraNodus and for citations, please, refer to this peer-reviewed paper:Paranyushkin, D (2019). InfraNodus: Generating Insight Using Text Network Analysis, Proceedings of WWW'19 The Web Conference, www.infranodus.com (ACM library, PDF).
If you want to know more about the algorithms used, here is the first paper we published on the subject:
Paranyushkin, D (2011). Identifying the pathways for meaning circulation using text network analysis, Nodus Labs. (Google scholar)
Various Other Use Cases
The best way to use InfraNodus is to identify structural gaps in texts or any connected data, so that you know what is missing and how to fulfil it. Some areas of application include:
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Sentiment Analysis of Product Reviews (topic modeling)
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Text Mining with Networks (discourse structure analysis)
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Visual Google Search (a great way to get an overview of any topic)
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Network Analysis (community detection and node ranking algorithms)
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Visual Arts and Music (sculpt your thoughts and play music with graphs)
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Search Engine Optimization / SEO (finding the untapped keywords)
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Scientific Research (generate insight from your writing)
Become a Supporter!
InfraNodus is open-source software and is developed without external funds or investors. We develop and maintain this tool and the associated research based on your contributions only. We believe it is a working model for crowdfunded software made by users for users.
You can support our work if you become a subscriber and get access to the cloud version or if you become our patron on Patreon. Enterpise, government, and educational versions are also available.
Pricing Options
You can sign up for an account below or request a managed dedicated enterprise solution. We offer a 14-day free trial and you can cancel at any times.
All plans include CSV spreadsheet upload and Amazon reviews import function. The Pro and Premium accounts have extended GPT AI quotas and higher file upload limits.
All quotas are per each text. There is no limitation on the number of texts you can process every month.
Basic Account
€12 / mo on annual billing
(save 35%)
- Instant Activation
- Cloud Version
- Technical Support
- Support Development
- Amazon Product Reviews
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Up to 250 Kb Upload
(1Mb for PDFs) - Basic GPT AI Functionality
- Personal Use
Advanced Account
€32 / mo on annual billing
(save 35%)
- everything on the Cloud +
- Extended Quotas & Apps
- Personal Dedicated Assistance
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Bigger File Uploads
(max 1.2 Mb, PDFs: 2.1Mb) - Multiple File Uploads
- Live Graph Updates (max 5)
- Up to 500 Amazon Reviews
- Google Search Results Analysis
- AI-based GPT Insight Generation
- Commercial Use
Premium Account
€66 / mo when billed yearly
(save 16%)
- everything on the Pro +
- Multiple Users
- Dedicated Data Scientist
- Remove InfraNodus Branding
- Extended Uploads (max 3 Mb)
- Up to 1000 Amazon Reviews
- Live Graph Updates (max 20)
- Google Search Results Analysis
- Fast-track Required Features
About InfraNodus: Our Philosophy
One of the most important skills for any organization is the ability to listen. InfraNodus is designed to provide a deeper insight into a public discourse about your organization, revealing high-level ideas as well as hidden insights. It can also identify whatever it is that is missing, helping you generate innovative ideas from listening to what the others say about you.
Gregory Bateson coined a beautiful term: "ecology of the mind". What is a mind that is ecological? It has the ability to have an overview, but it can also zoom into any idea. It embraces diversity, but it can also obsess over one thing when needed. It can discover the obvious, but it can also reveal the things that are hidden and ponder the gaps that have not yet been bridged. Rational and poetic.
InfraNodus is a tool that is developed to help you think and listen in this way. It is made to promote ecological dynamics and diversity on the cognitive level. InfraNodus visualises and analyses ideas as a network, revealing the relations and patterns within them, so you can understand the dynamic complexity of how knowledge evolves and explore the nuances of meaning.
How does InfraNodus achieve that? It uses a combination of network theory and social science. In fact, InfraNodus' special sauce is to apply social network analysis techniques to discourse analysis. Once you start seeing the words as people and their co-occurrences as the connections, you can build social networks of concepts, in order to identify the most influential ideas. Then you can target those influential concepts and ideas to connect your own discourse to that of a market.
This can be especially useful for studying open-ended survey responses and questionnaire data. With InfraNodus, you can understand both the general picture and the hidden nuance, because you can use the network visualization to explore the data to the fullest extent.
InfraNodus can also be particularly helpful for removing cognitive bias and helping you see the nuances nobody else does. Most of the time, people think that if they know the main keywords they get an idea, but this idea is usually superficial. InfraNodus, on the other hand, allows you to get rid of the first, obvious layer of ideas and get to the depths of a discourse, revealing both high-level ideas and the insights hidden within or at the periphery of a discourse.
It also uses multiple tools from social sciences to help you identify the most effective entrance points into any discourse, which can be particularly helpful if you want to be heard in a crowded space. The insights obtained using InfraNodus can be really helpful for bringing innovative products to the market, the sort of things that are hard to promote using conventional tools.
If you would like to learn more about how InfraNodus works, you can sign up for an account and give it a try or learn more about our approach in the About InfraNodus section where we showcase some of the cutting-edge algorithms and frameworks we use. You may also be interested to find out more about the competitive intelligence approach.
Dmitry Paranyushkin, the founder
Testimonials
InfraNodus is used by researchers, writers, marketing professionals and corporations. Here's what some of our supporters have to say:
Technical Support
Check out our support pages, so you can see how to create the new network graphs, how to read and interpret them, how to discover the hidden patterns in your data and share the results of your research.
1. How to Create a New Graph
The most basic way to create a new graph is to use the hashtags. Each hashtag is a node, their co-occurrence is the connection between them. You can also use normal text to build your text graphs automatically. More on Creating the Graphs
2. How to Read and Interpret Network Visualization
Studies have shown that diagrams and especially network representation of data makes you think more of connections in your data. You can identify the main elements as well as the relations between them and — most importantly — discover the gaps in your knowledge using the graphs. More on Reading the Graphs
3. Find the Right Excerpt in Text
Network graphs are great for non-linear reading. Look at the graph, find the part you like, click on the nodes, and you'll see the excerpt of your original data that contains this exact combination. More on Nonlinear Reading
4. How to Import Text and PDF files
You can import and visualize your text files or PDF documents. In order to do that, just upload the file and InfraNodus will do the rest. More on Visualizing PDFs