/TechCrunchStartupAnalysis

Using Tech Crunch posts in conjunction with various exploratory data analysis methods to model startup successes.

Primary LanguageJupyter NotebookMIT LicenseMIT

TechCrunchStartupAnalysis

Using Tech Crunch posts conjunction with various exploratory analysis methods to model startup successes.

TC Posts data set: https://www.kaggle.com/thibalbo/techcrunch-posts-compilation Company/People data set: https://data.crunchbase.com/

  • To obtain the data set, basic API access is needed

Goals:

  • Conduct EDA on Tech Crunch Posts to create a "hype/PR" time series graph
  • Create sentiment analysis on each post within the company group
  • Graph the sentiment analysis against outcome (if exists) "funded/exits/failures"
  • Model successful startups and extract key success features