GoogleSearch

BingSearch is a library of simple R functions and scripts (Mazanec, 2008-2023) to launch Bing queries for capturing occurrence and co-occurrence frequencies of keywords. Two examples taken from a city tourism application are provided. In these examples city names denote the rows and attributes define the columns of the co-occurrence matrix. A routine for non-disjunctive hierarchical clustering (Peay, 1975) is also provided. See the Run... scripts for detailed working steps.

Note that keywords must be in English and composite words are set between quotation marks ("New York", "peace and quiet").

One of the functions is based on Cilibrasi, R. L. and M. B. Vitányi (2007) The Google Similarity Distance, IEEE Transactions on Knowledge and Data Engineering, 19 (3), 370-383.

For CLIP clustering see Peay, E. R. (1975) Nonmetric Grouping: Clusters and Cliques, Psychometrika, 40, 297-313, Mazanec, J. A. (1978) Strukturmodelle des Konsumverhaltens, Vienna: Orac, pp. 447-453, and Mazanec. J. A. (1997) International City Tourism, Analysis and Strategy, London & Washington: Pinter, pp. 240-242.

The list of positive connotations in example #2 below is based on the System for Connotative Analysis of Discourse (US Patent of December 18, 2001) by Wayne O. Chase.

Chapter 10 of Mazanec, J. A. and K. W. Woeber (2010), Analysing International City Tourism, Vienna: Springer, pp. 191-210 presents a fully elaborated case study for tourist cities.

A study on receiving countries is available from the Journal of Travel Research (Mazanec, J. A. (2010). Tourism Receiving Countries in Connotative Google Space. 49 (Nov): 501-512).

Requirements

You need the open source computing environment R which you may freely download from http://cran.r-project.org/.

Please read and accept our download conditions before!

Download and unzip the zip files to a separate directory of your choice and make it your R working directory. Then start R, edit the RunBing script and execute steps 1-5 sequentially. Change the contents of the files with the city names and the connotations according to your information needs.