Visual AI Sentiment Analysis Tool for Customer Feedback and Reviews
Analyze customer reviews, feedback, and VoC data with AI-powered knowledge graphs. Detect sentiment, reveal topic clusters, compare positive and negative reviews, and uncover product opportunities.
Watch an Introduction
InfraNodus Features
Use InfraNodus to analyze customer reviews, feedback, and Voice of Customer data. Detect sentiment, compare positive and negative reviews, reveal recurring pain points, and identify structural gaps that lead to better product and messaging decisions.
Customer Feedback Analysis Workflow:
Import customer reviews, feedback, and VoC data to detect the main topic clusters inside. Unlike other tools, InfraNodus shows the results in context, so you can see which product issues, benefits, and themes appear together.
Use the built-in sentiment analysis model to classify reviews and feedback as positive, negative, or neutral. Filter the graph by sentiment to see which issues drive dissatisfaction and which themes create loyalty.
Use the interactive graph to find the parts of the customer discourse that matter most. Zoom into a topic, inspect the relevant reviews, and understand the exact context behind complaints, praise, and unmet needs.
Identify structural gaps in customer discourse and use AI to generate product improvements, positioning ideas, and messaging angles that bridge those unmet expectations.
Sentiment Analysis Workflow
Step by Step Customer Review Analysis Workflow:
Check out this help article from our support center, which demonstrates a workflow for performing sentiment analysis of customer product review data:
Sentiment Analysis
Try it With the Real Graphs:
The graph below is a visualization of Tesla customer reviews from 2018, filtered by the low rating, so you can see what the customers who give the car a lower rating don't like about it:
Tesla Reviews (2018, 1 & 2 stars)
The advantage of InfraNodus is that it doesn't just show you the keywords, but also the interactive relations between them, so you can click on those terms and better understand the context of the customers' sentiment or of a market discourse.
You can also import and analyze customer product reviews from any Amazon site, so you can study your competition or simply use it to make a more informed decision.
Sign Up to Try with Your Data
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 AI Customer Feedback Analysis Works
InfraNodus converts customer reviews, feedback, and VoC data into an interactive knowledge graph, then uses AI and graph theory to reveal sentiment patterns, topic clusters, and hidden product opportunities.
Here is how it works:
1. Import Customer Reviews and Feedback
Upload customer reviews, support feedback, app-store comments, or VoC data as CSV, text files, or PDFs. You can also import reviews directly from Amazon or paste text manually.
Each review is converted into a knowledge graph where the concepts are nodes and their co-occurrences are connections — so you can see all your fragmented customer discourse at once, as a single interactive picture.
2. Detect Sentiment, Topics, and Pain Points
The AI automatically detects topical clusters in your customer feedback — themes that naturally emerge from what your customers are saying. The most influential concepts are shown larger, and related ideas are grouped by color.
Unlike simple word clouds, the graph shows you the relationships between topics. Filter by sentiment to see what drives positive vs. negative reviews and drill into specific product pain points.
3. Find Product Opportunities and Generate Ideas
InfraNodus identifies structural gaps in your customer feedback: topics that customers mention separately but never connect. These gaps reveal unmet needs, overlooked opportunities, and messaging blind spots.
Use the built-in AI to generate actionable ideas that bridge those gaps — new product features, service improvements, and positioning angles your competitors may be missing. Export results as CSV for your reports.
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)
Text Mining 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.
InfraNodus vs. Other Customer Feedback Analysis Tools
Traditional feedback tools and spreadsheets can collect reviews and ratings, but they struggle to reveal the deeper patterns in customer comments. InfraNodus provides an AI-powered approach that exposes sentiment, topic clusters, and structural gaps in customer feedback.
without InfraNodus
Traditional Feedback Tools
- Collect reviews and ratings but show limited context
- Word clouds with no relations between issues
- No topical cluster detection
- No content gap analysis
- Manual tagging of open-ended feedback
- No graph-based exploration
- Limited or no AI-powered analysis
- No structural insight into customer discourse
AI Chatbots (ChatGPT, etc.)
- Summarize into generic bullet points
- Miss nuanced patterns in responses
- Black-box approach hides reasoning
- No visual exploration of survey data
with InfraNodus
AI Customer Feedback Analysis
- Automatically reveals themes in customer reviews and feedback
- Interactive knowledge graph shows relations in context
- Topical cluster detection across all reviews
- Structural gap analysis to find unmet expectations
- Built-in sentiment analysis with topic filtering
- Peel off top layers to reveal deeper review insights
- AI generates product and messaging ideas from gaps
- API and MCP server for LLM workflows
AI + Knowledge Graph
- Visual patterns you can explore interactively
- Original insights from data structure itself
- Transparent graph shows exactly what's happening
- GraphRAG finds gaps in your customer feedback
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 time.
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.
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) - 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
- 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)
- Fast-track Required Features
About InfraNodus: Our Philosophy
One of the most important skills for any business is the ability to listen. InfraNodus is especially designed to provide a deeper insight into a public discourse about your company, revealing high-level ideas as well as hidden insights.
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 the market discourse and customer reviews. With InfraNodus, you can understand the current informational supply in the market, discover what people are actually searching for, analyze your competitors' websites, and better understand customer sentiment. All these insights can be augmented by built-in AI. As a result, you don't only get an in-depth understanding of any market, but can also spot the strong and the weak sides of your competition, and reveal the latest market trends.
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 the market 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