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bitvore_cellenus_thematic_trending_data

bitvore_cellenus_thematic_trending_data by Bitvore

Dataset Name: bitvore_cellenus_thematic_trending_data


Group: natural_language_processing
Vendor: Bitvore
Data Starts at: 2016-01-01 00:00:00
Asset Class: Equity,ADRs,ETFs,Fixed Income,Options,FX,Futures
Data Update Frequency: day

CELLENUS THEMATIC TRENDING DATA

Bitvore Cellenus Thematic Trending Data is a dataset providing NLP-driven insights into business-related themes from a diverse set of unstructured data, both public and licensed premium content. Within each theme covered, trending news and insights are provided using keyword extraction and measurement of magnitude over time. Bitvore Cellenus Thematic Trending Data is constantly updated with emerging themes of interest. Examples of current themes Bitvore Cellenus Thematic Trending Data covers include:

  • Brexit
  • Subprime Lending
  • Middle East Tensions
  • Terrorism
  • Federal Interest Rate Cuts<
  • Inverted Yield Curve
  • Tariffs/Trade Wars
  • Sub-prime lending'

Bitvore transforms unstructured data to machine readable datasets with sentiment and valuable metadata leveraging the latest techniques in Machine Learning and AI. The Bitvore Cellenus platform ingests, aggregates, curates, normalizes and processes over 5 million pieces of content daily to deliver virtual real-time entity sentiment, growth and risk scores. We help our customers reduce costs, improve entity surveillance and identify emerging risks and opportunities more quickly.

5+ Years of Historical Data





Important Dataset Notes

This dataset is not available for direct online purchase. Please contact sales directly at sales@CloudQuant.com. The data is available through our normal sales department who can provide you with current pricing and a quote for accessing this valuable dataset. This may be due to a number of reasons such as dataset intended use, size of the company (or investment fund) using the dataset, or for simple legal requirements that CloudQuant needs to ensure are in place prior to licensing the dataset to you.