Algorithmic stemmers or morphological analysisq An evaluation

By Claire Fautsch, Jacques Savoy. 2009

518 citations recorded by the source corpus.

Subfields: Information Systems and Management, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/445b652b54d2bbc9bdbeb554b6985378010f0abe

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Citations in the corpus

Literature review on the ‘Smart Factory’ concept using bibliometric tools (2017, methodology): “VoS viewer (http://www.vosviewer.com/) is another software tool able to analyse bibliometric networks and, in this work, it was used to study keywords network applying the VoS clustering methodology (Van Eck and Waltman 2009).”
Reconfigurable supply chain: the X-network (2020, unknown): “Within this sample, VOSviewer Co-occurrence Analysis (VCA) and its clustering functions have been used, which help compute similarities between key terms given their association strength and a weighted sum of squared distance (van Eck and Waltman, 2009; Ali and Golgeci 2019).”
Visualizing the structure and bridges of the intellectual property management and strategy literature: a document co-citation analysis (2014, unknown): “Also, the most appropriate measure for normalizing co-occurrence frequencies is the so-called association strength (e.g., Van Eck and Waltman 2007; Van Eck et al. 2006).”
Smart specialization policy in the European Union: relatedness, knowledge complexity and regional diversification (2019, methodology): “In important ways, this work built a series of policy prescriptions around the concept of heterogeneity in regional knowledge bases and path dependence in their evolution (Rigby & Essletzbichler, 1997) and the related variety concept (Frenken, Van Oort, & Verburg, 2007).”
Visualization and analysis of mapping knowledge domain of road safety studies. (2018, background): “Note that van Eck and Waltman (2009) specially discussed the advantages of this measure comparing to other similarity measures (such as the cosine, the inclusion index, and the Jaccard index).”
Evaluating the use of search engine development tools in IT education (2010, unknown): “I have argued elsewhere (e.g., Hjørland &Albrechtsen, 1995; Hjørland, 2009) that a social paradigm is a better theoretical framework than the cognitive view.”
Climbing the Ladder of Technological Development (2017, unknown): “This is often referred to as the cosine similarity measure and it has been widely applied in recent work (see Eck and Waltman 2009 for a detailed analysis).”
Science mapping software tools: Review, analysis, and cooperative study among tools (2011, methodology): “A review of similarity measures used in science mapping was carried out in (van Eck & Waltman, 2009).”
Echoes of power: language effects and power differences in social interaction (2011, background): “arise in very different settings: discussions among Wikipedia editors, containing over 240,000 conversational exchanges; and oral arguments before the U.S. Supreme Court, as processed by Hawes et al. [24, 25] and containing 50,389 conversational exchanges among Justices and lawyers. By focusing on f”
Translation techniques in cross-language information retrieval (2012, methodology): “In that context, stemming is generally acknowledged as a tool for improving the effectiveness of a search engine because it tends to produce more potentially relevant documents [Hull 1996; Melucci and Orio 2003; Savoy 2007; Fautsch and Savoy 2009].”
SciMAT: A new science mapping analysis software tool (2012, methodology): “When the network of relationships between the selected units of analysis has been built, a normalization process is needed (van Eck & Waltman, 2009).”
Visualizing Bibliometric Networks (2014, methodology): “We first discuss the association strength normalization (Van Eck & Waltman, 2009) used by VOSviewer to normalize for differences between nodes in the number of edges they have to other nodes.”
Tourism and its economic impact: A literature review using bibliometric tools (2018, background): “…defined as ASij ¼ cij cicj Where cij is the measure of the occurrence of the keywords i and j in the same document and ci and cj are the expected numbers of co-occurrences of i and j under the assumption that the co-occurrences of i and j are statistically independent (Van Eck and Waltman, 2009).”