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{{Project
|Has project output=Data
|Has sponsor=Kauffman Incubator Project
|Has title=Ecosystem Organization Classifier
|Has owner=Libby Bassini, Anne Freeman,
The purpose of this project is to build a classifier, which takes the description of an ecosystem organization (i.e., a startup, a venture capitalist, an incubator, etc.) and either correctly classifies the organization's type or correctly classifies incubators vs. non-incubators.
 
==Related Projects==
 
Subsumed Projects:
{{#show: Ecosystem Organization Classifier|?Does subsume}}
 
This project is dependent on:
{{#show: Ecosystem Organization Classifier|?Is dependent on}}
===Text Processing===
We can use [[The Matcher (Tool)]] to match organization names to portfolio companies and VC funds and firms taken from '''vcdb3''' (see [[VentureXpert Database]]). We will also search this data by hand for incubators to get an initial set. Later on, we'll match our early list of incubators to crunchbase organization names to expand our list.
 
==Related Projects==
 
Subsumed Projects:
{{#show: Ecosystem Organization Classifier|?Does subsume}}
 
This project is dependent on:
{{#show: Ecosystem Organization Classifier|?Is dependent on}}
==Incubator Scores of Crunchbase Results==
! style="width: 9%" | City
! style="width: 7%" | Region
! style="width: 7%" | Lists Client Companies [Y/N]
! style="width: 9%" | Fixed Duration [Y - 0 /N - 1]
! style="width: 5%" | Incubator Investment [Y - 0 /N - 1]
! style="width: 9%" | Formal Application Process [Y - 0 /N - 1]
! style="width: 9%" | Incubator Score out of 4
! style="width: 9%" | Notes (Foreign, Virtual, Social Impact, or other observations)
|-
|
==Process Notes for Calculating Incubator Scores==
 
Two new files were generated from the '''crunchbase3''' dbase as follows:
 
\COPY (SELECT uuid, company_name, short_description FROM Organizations WHERE country_code='USA' AND short_description LIKE '%incubat%') TO 'CrunchbaseShortOrgDescsUSAIncubat.txt' WITH DELIMITER AS E'\t' HEADER NULL AS '' CSV
--466
\COPY (SELECT A.uuid, A.company_name, B.description FROM Organizations AS A JOIN organization_descriptions AS B on A.uuid=B.uuid WHERE country_code='USA' AND description LIKE '%incubat%') TO 'CrunchbaseLongOrgDescsUSAIncubat.txt' WITH DELIMITER AS E'\t' HEADER NULL AS '' CSV
--933
 
These files were put in E:\projects\crunchbase3.
1. New file - Renamed E:\projects\crunchbase3\organizations as E:\projects\crunchbase3\organizations_OnlyIncubators_PlusIncubatorScores
3. Incubator - CTRL+Fed for "incubator" and deleted organizations that didn't identify as an incubator
4. New Columns - 1. #; 2. Company with URL to page linked; 3. Self-Identified Incubator [Y/N]; 4. State; 5. City; 6. Region; 7. Lists Client Companies [Y/N] with URL linked; 8. Fixed Duration [Y - 0 /N - 1]: (Startups at an incubator generally do not all stay for the same fixed duration; Incubator does not have a fixed graduation date for its startups or has a program that lasts longer than one year); 89. Incubator Investment [Y - 0 /N - 1]: (Incubator does not invest directly in the company or take equity in its startups); 910. Cohorts [Y - 0 /N - 1]: Incubator does not have limited-duration programs that ventures enter and exit in groups, known as cohorts or batches.; 1011. Formal Application Process [Y - 0 /N - 1]: (Selective, competitive admissions process; Fixed, not rolling application process); 1112. Incubator Score out of 4 (A score of 4 is most likely to be an incubator and a score of 0 is less likely to be an incubator based on our baseline attributes for an incubator [[Defining Incubators]]) 5. Deleted Columns - funding_rounds; roles; permalink; domain; funding rounds 6. Delete Closed Incubators - Filtered 'status' column to exclude showing results that are 'closed'  7. Made A Table - Converted entire worksheet into a table to filter more easily 8. Identified Self-Identified Incubators - Created a custom-auto filter that searched the 'short description' for 'contains: incubat'

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