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Datasets for AI Text and Data Analysis

Dmitry Paranyushkin
  • Updated

We have an open source repository of data for AI-powered text and data analysis. You can use the files provided to try different workflows in InfraNodus and explore how you can apply it for:

  • Keyword analysis: finding the main topics for a search query, high-volume, low-competition niches
  • Survey analysis filtered by respondent segments
  • Network analysis (e.g. disease co-occurrences or studying the network of classic rock musicians)
  • Project listings (e.g. understanding the most prominent topics and gaps by grant application category)

  • Research papers analysis (e.g. analyzing all Arxiv papers that mentioned "graph" in the title or abstract)

     

To download the datasets and read step-by-step analysis instructions, go to

https://github.com/infranodus/datasets

 

Here is a quick summary of the available sample datasets you will find in this repository:

 

Keyword Stats

  • Google Search volumes for keywords related to "ai tools": Contains Google Search volume data for various AI tool-related keywords.

 

Open-Ended Surveys

  • Open Source Mental Health Initiative (OSMI) 2019 Mental Health Tech Survey: Provides responses from a survey on mental health in the tech industry.

 

Listings

  • European Commission Open Data Portal: Contains samples of listings from the European Commission's open data portal, useful for title/description analysis.

 

Network Graphs (Gexf Format)

  • A network graph of diseases and their connections: Shows how different diseases are interconnected based on shared gene mutations.
  • A network of related classic rock artists: Illustrates connections and clusters among classic rock artists based on Spotify data.
  • C. elegans connectome of neurons: Maps the connections between the 302 neurons of the C. elegans adult hermaphrodite.
  • A yeast molecular interaction network: Displays protein interactions within yeast to identify central components and clusters.

 

Knowledge Graphs

  • A text file that can be uploaded to InfraNodus to analyze similar sites in SEO sphere: Provides relations between different entities in the SEO domain.

 

Databases

  • A list of research papers on graphs extracted from Arxiv: Contains titles and abstracts of graph theory-related research papers from the Arxiv database.

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