What is Entity Relationship Web App?
Instantly convert your unstructured social media text data into a visual map of contextual relationships between entities.
Problem
Users need to manually analyze unstructured social media text data, which is time-consuming, inefficient, and lacks visualization of contextual relationships between entities.
Solution
A dashboard tool that lets users convert unstructured social media text into a visual map of contextual relationships between entities using Named Entity Recognition (NER), e.g., transforming tweets or comments into interactive relationship graphs.
Customers
Data Analysts, Market Researchers, and Social Media Managers who require insights from social data to identify trends, brand mentions, or competitor strategies.
Unique Features
Focuses on visualizing contextual relationships (not just entity identification) and maps interactions between entities like people, brands, and locations from unstructured text.
User Comments
Saves hours of manual data analysis
Intuitive visualization of connections
Limited customization options
Useful for competitive research
Requires clearer export features
Traction
Launched on ProductHunt (no upvote count provided), integrates with social media APIs, no disclosed revenue or user numbers.
Market Size
The global NLP market is projected to reach $40 billion by 2025 (MarketsandMarkets), driven by demand for social media analytics tools.
