SEC Filings Text Analytics

SEC Filings Text Analytics selected out of records | Reset All

Data Scientists:	Yash Nigam	Gene Moo Lee
Affiliations:	Master Student of Information Systems University of Texas at Arlington	Assistant Professor of Information Systems University of British Columbia
Contact:	yash.nigam@mavs.uta.edu Home Page	gene.lee@sauder.ubc.ca Home Page

Project Description

The following graphs and charts are generated by analyzing SEC filings collected from EDGAR system.
Especially, we applied LDA topic modeling on textual data from 10-K documents to generated the industry topics.

SEC Filings by US States reset | Current filter:

Select states for geographical analysis.

Standard Industry Classification (SIC) Codes reset

Select SIC codes for industry analysis.

Years reset

Filing Types reset

Topic Trends based on LDA Topic Model

Topic trends are not clickable.

Select Year reset

Select SIC code reset

Select State reset

Select City reset

Select Company Name reset

Year	CIK	SIC	Name	Type	Type Count	State	City