Using Machine Learning to Improve Public Reporting on U.S. Government Contracts
References
- (2020) Verizon uses advanced analytics to rationalize its tail spend suppliers. INFORMS J. Appl. Analytics 50(3):197–211.Google Scholar
- (2012) A survey of text classification algorithms. Aggarwal CC, Zhai CX, eds. Mining Text Data (Springer, Boston), 163–222.Google Scholar
- (2020) An empirically-derived taxonomy of eGovernment challenges. IEEE Access 8:41128–41146.Google Scholar
- (2013) On flat vs. hierarchical classification in large-scale taxonomies. Burges CJC, Bottou L, Welling M, Ghahramani Z, Weinberger KQ, eds. Proc. 26th Internat. Conf. Neural Inform. Processing Systems, vol. 2 (Curran Associates, Red Hook, NY), 1824–1832.Google Scholar
- (2016) Learning taxonomy adaptation in large-scale classification. J. Machine Learning Res. 17(1):3350–3386.Google Scholar
- (2020) U.S. Chief Procurement Officers’ perspectives on public procurement. J. Purchasing Supply Management 26(1):100538.Google Scholar
- (2013) Play it again, Sam: Taking another look at how supplies and services are classified. Public Contract Law J. 42(3):549–583.Google Scholar
- (2019) Fine-grained product categorization in e-commerce. Proc. 28th ACM Internat. Conf. Inform. Knowledge Management (ACM, New York), 2349–2352.Google Scholar
- (2012) Optimizing index for taxonomy keyword search. Proc. 2012 ACM SIGMOD Internat. Conf. Management Data (ACM, New York), 493–504.Google Scholar
- (2002) Goldenbullet: Automated classification of product data in e-commerce. Proc. 5th Internat. Conf. Bus. Inform. Systems, Poznań, Poland, 1–9.Google Scholar
- (2020) Search text to retrieve graphs: A scalable RDF keyword-based search system. IEEE Access 8:14089–14111.Google Scholar
- (2002) Coding standards benefiting product and service information in e-commerce. Proc. 35th Annual Hawaii Internat. Conf. System Sciences, Big Island, HI, 3201–3208.Google Scholar
- GSA (2020a) Next Generation (FPDS-NG) Data Element Dictionary. Federal Procurement Data System, U.S. General Services Administration, Washington, DC, https://www.fpds.gov.Google Scholar
- GSA (2020b) Product Service Codes (PSCs) Management Standard Operating Procedures. Federal Procurement Data System, U.S. General Services Administration, Washington, DC, https://www.acquisition.gov/psc-manual.Google Scholar
- GSA (2020c) Product and Service Codes Manual. Federal Procurement Data System, U.S. General Services Administration, March 2020 edition, Washington, DC, https://www.acquisition.gov/psc-manual.Google Scholar
- (2007) A quantitative analysis of product categorization standards: Content, coverage, and maintenance of eCl@ss, UNSPSC, eOTD, and the RosettaNet Technical Dictionary. Knowledge Inform. Systems 13(1):77–114.Google Scholar
- (2019) Uncle Sam rising: Performance implications of business-to-government relationships. J. Marketing 83(1):51–72.Google Scholar
- (2014) Big-data applications in the government sector. Comm. ACM 57(3):78–85.Google Scholar
- (2016) Character-aware neural language models. Proc. 30th AAAI Conf. Artificial Intelligence (AAAI Press, Palo Alto, CA), 2741–2749.Google Scholar
- (2015) Everyone likes shopping! Multi-class product categorization for e-commerce. Proc. 2015 Conf. North Amer. Chapter Assoc. Computational Linguistics: Human Language Tech. (Association for Computational Linguistics, Stroudsburg, PA), 1329–1333.Google Scholar
- (2019) MOPSO-based CNN for keyword selection on Google ads. IEEE Access 7:125387–12540.Google Scholar
- (2012) Spend analysis: Lessons from the best-in-class. Supply Chain Management Rev. 16(2):10–12.Google Scholar
- (2020) Deep learning based text classification: A comprehensive review. Preprint, submitted April 6, https://arxiv.org/abs/2004.03705.Google Scholar
- (2018) A recent overview of the state-of-the-art elements of text classification. Expert Systems Appl. 106:36–54.Google Scholar
- (2021) U.S. government contract metadata, fiscal years 2014 to 2020. Data set, DOI: http://dx.doi.org/10.5281/zenodo.4940111.Google Scholar
- (2016) Ensemble of keyword extraction methods and classifiers in text classification. Expert Systems Appl. 57(15):232–247.Google Scholar
- (2008) Spend Analysis: The Window into Strategic Sourcing (J. Ross Publishing, Fort Lauderdale, FL).Google Scholar
- (2018) What do good governments actually do?: An analysis using European procurement data. Eur. Political Sci. Rev. 10(3):369–391.Google Scholar
- (2017) Value-driven strategic sourcing based on service-dominant logic. Service Sci. 9(4):275–287.Link, Google Scholar
- (2010) A survey of hierarchical classification across different application domains. Data Mining Knowledge Discovery 22:31–72.Google Scholar
- (2001) Hierarchical text classification and evaluation. Proc. 2001 IEEE Internat. Conf. Data Mining (IEEE, Piscataway, NJ), 521–528.Google Scholar
- (2019) Category management: Making smarter use of common contract solutions and practices. Memorandum M-19-13, U.S. Office of Management and Budget, Washington, DC.Google Scholar
- (2018) Recent trends in deep learning based natural language processing. IEEE Computational Intelligence Magazine 13(3):55–75.Google Scholar
- (2015) Character-level convolutional networks for text classification. Cortes C, Lee DD, Sugiyama M, Garnett R, eds. Proc. 28th Internat. Conf. Neural Inform. Processing Systems, vol. 1 (MIT Press, Cambridge, MA), 649–657.Google Scholar
- (2012) Improving acquisition through strategic sourcing. Memorandum M-13-02, U.S. Office of Management and Budget, Washington, DC.Google Scholar

