Ecosystem Organization Classifier
| Ecosystem Organization Classifier | |
|---|---|
| Project Information | |
| Has title | Ecosystem Organization Classifier |
| Has start date | |
| Has deadline date | |
| Has project status | Active |
| Is dependent on | Crunchbase Database, VentureXpert Database |
| Does subsume | Defining Incubators, Incubator Seed Data, Incubators in Five Ecosystems |
| Copyright © 2019 edegan.com. All Rights Reserved. | |
Introduction
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.
Text Processing
There are two obvious classification methods for the processing the textual descriptions. The first is a "Bag of Words" approach, which uses Term Frequency – Inverse Document Frequency (TF-IDF) to do basic natural language processing and select words or phrases which have discriminant capabilities. The second is a Word2Vec approach which uses a shallow 2 layer neural network to reduce descriptions to a vector with high discriminant potential. (See "Memo for Evan" in E:\mcnair\Projects\Incubators for further detail.) We are going to be trying both approaches.
Related Projects
Subsumed Projects: Defining Incubators, Incubator Seed Data, Incubators in Five Ecosystems
This project is dependent on: Crunchbase Database, VentureXpert Database
