4.6 Article

Using text data instead of SIC codes to tag innovative firms and classify industrial activities

Related references

Note: Only part of the references are listed.
Article Multidisciplinary Sciences

Predicting innovative firms using web mining and deep learning

Jan Kinne et al.

Summary: The paper introduces a new method to identify product innovator firms at a large scale and low cost using a web-based classification model. The results show that this approach produces reliable predictions and could be a valuable and cost-efficient addition to existing innovation indicators.

PLOS ONE (2021)

Article Economics

Text as Data

Matthew Gentzkow et al.

JOURNAL OF ECONOMIC LITERATURE (2019)

Article Management

Conglomerate Industry Choice and Product Language

Gerard Hoberg et al.

MANAGEMENT SCIENCE (2018)

Article Business

Automated Text Analysis for Consumer Research

Ashlee Humphreys et al.

JOURNAL OF CONSUMER RESEARCH (2018)

Article Environmental Studies

Regional skill relatedness: towards a new measure of regional related diversification

Rune Dahl Fitjar et al.

EUROPEAN PLANNING STUDIES (2017)

Article Economics

Text-Based Network Industries and Endogenous Product Differentiation

Gerard Hoberg et al.

JOURNAL OF POLITICAL ECONOMY (2016)

Article Economics

Local Multipliers

Enrico Moretti

AMERICAN ECONOMIC REVIEW (2010)

Article Business

Alliance or acquisition? A dyadic perspective on interfirm resource combinations

Lihua Wang et al.

STRATEGIC MANAGEMENT JOURNAL (2007)

Article Multidisciplinary Sciences

The product space conditions the development of nations

C. A. Hidalgo et al.

SCIENCE (2007)

Article Business, Finance

Giving content to investor sentiment: The role of media in the stock market

Paul C. Tetlock

JOURNAL OF FINANCE (2007)