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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Beaudry, C., & Héroux-Vaillancourt, M. (2016, June). Are the most innovative Canadian technology-related firms also the most open? [Paper]. 19th Uddevalla Symposium on Geography, Open Innovation, Diversity and Entrepreneurship, London, UK. Unavailable
Beaudry, C., Héroux-Vaillancourt, M., & Rietsch, C. (2016, September). Validation of a web mining technique to measure innovation in high technology Canadian industries [Paper]. OECD Blue Sky Forum 2016, Ghent, Belgium. External link
Beaudry, C., Héroux-Vaillancourt, M., & Rietsch, C. (2016, June). Validation of a web mining technique to measure innovation in the Canadian nanotechnology-related community [Paper]. 19th Uddevalla Symposium on Geography, Open Innovation, Diversity and Entrepreneurship, London, UK. Unavailable
Beaudry, C., & Héroux-Vaillancourt, M. (2015, October). Understanding open innovation practices of Canadian nanotechnology-related firms [Paper]. "From nanotechnology to emerging technologies : towards a global responsibility" (S.NET 2015), Montréal, Québec. Unavailable
Cruciata, P., Pulizzotto, D., Héroux-Vaillancourt, M., & Beaudry, C. (2023, June). 0-shot text classification for web-based environmental indicators : pilot study on B-corp data [Paper]. 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023), Seville, Spain. Available
Cruciata, P., Pulizzotto, D., Héroux-Vaillancourt, M., & Beaudry, C. (2023, May). Creation of new indicators with a specialized deep learning model for innovation studies : testing the B corp certification [Paper]. 9th Atlanta Conference on Science and Innovation Policy, Atlanta, Georgia, USA. External link
Héroux-Vaillancourt, M. (2023). Exploring Corporate Websites to Assess Enterprise Innovation – Measuring and Validating the Signal from Textual Content [Ph.D. thesis, Polytechnique Montréal]. Available
Héroux-Vaillancourt, M., Beaudry, C., Pulizzotto, D., & Dalziel, M. (2023, June). Assessing the impact of innovation signaling on the investment [Paper]. 5th International Conference on Advanced Research Methods and Analytics, Seville, Spain. External link
Héroux-Vaillancourt, M., Beaudry, C., Pulizzotto, D., & Dalziel, M. (2023, June). How does innovation-related language found on corporate website correspond to reality? [Paper]. Danish Research Unit for Industrial Dynamics Conference (DRUID 2023), Lisbon, Portugal. Unavailable
Héroux-Vaillancourt, M., Beaudry, C., & Dalziel, M. (2023, May). Quel signal envoient les entreprises dans leur site web ? Une évaluation de l'utilisation du langage lié à l'innovation dans les sites internet corporatifs [Presentation]. In 90e congrès de l'ACFAS, Montreal, Qc, Canada. Unavailable
Héroux-Vaillancourt, M., Beaudry, C., Pulizzotto, D., & Dalziel, M. (2023, May). Understanding the use of innovation-related concepts in enterprises' websites [Paper]. 9th Atlanta Conference on Science and Innovation Policy, Atlanta, Georgia, USA. External link
Héroux-Vaillancourt, M., & Beaudry, C. (2022, May). Exploration of web-based indicatoris in classic innovation studies [Paper]. 2e conférence de 4POINT0 sur les Politiques, pratiques et processus relatifs à la performance des écosystèmes d'innovation (P4IE 2022), Ottawa, Ontario. Unavailable
Héroux-Vaillancourt, M., Beaudry, C., & Rietsch, C. (2020). Using web content analysis to create innovation indicators—What do we really measure? Quantitative Science Studies, 1(4), 1601-1637. Available
Héroux-Vaillancourt, M., Beaudry, C., & Dalziel, M. (2019, October). Could the organisation's websites be a valid data source for research? An analysis of the complementary nature between web-based indicators and traditional indicators in innovation studies [Paper]. 9th Global TechMining Conference, Atlanta, GA, USA. Unavailable
Héroux-Vaillancourt, M., & Beaudry, C. (2018). Are the most innovative Canadian nanotechnology-related firms also the most open? In Gråsjö, U., Karlsson, C., & Bernhard, I. (eds.), Geography, open innovation and entrepreneurship (pp. 140-189). External link
Héroux-Vaillancourt, M., & Beaudry, C. (2018, May). Comment mesurer l'impact de la culture sur la performance d'innovation? [Paper]. 58e Congrès de la Société canadienne de sciences économiques, Montréal, Qc, Canada. Unavailable
Héroux-Vaillancourt, M., & Beaudry, C. (2018, June). How innovation culture can impact technological performance? [Paper]. 52nd annual Conference of the Canadian Economics Association, Montréal, Qc, Canada. Unavailable
Héroux-Vaillancourt, M., & Beaudry, C. (2018, September). Using a multi-trait multi-method matrix to validate innovation indicators build from firms' websites [Paper]. 16th International Triple Helix Conference, Manchester, UK. Unavailable
Héroux-Vaillancourt, M., & Beaudry, C. (2018, July). Validation of innovation indicators from companies' websites [Paper]. 2nd International Conference on Advanced Research Methods and Analytics (CARMA 2018), València, Spain. External link
Rietsch, C., Beaudry, C., & Héroux-Vaillancourt, M. (2016, July). Validation of a web mining technique to measure innovation in the Canadian nanotechnology-related community [Paper]. 1st International Conference on Advanced Research Methods and Analytics (CARMA 2016), Valencia, Spain. External link
