Multidimensional scaling for article similarity

Multidimensional scaling for article similarity

get_mds_article_fits(num_articles, num_clusters, year_range, input_df,
  a_vectors = article_vectors)

Arguments

num_articles

integer, number of articles to select from entire dataframe
num_clusters

integer, number of clusters to generate
year_range

vector, c(1947,1948) containing beginning to end year
input_df

dataframe an articles dataframe containing article info and Similarity info (e.g., like the one generated by get_search_article_similarities())
a_vectors

matrix, containing the article vectors (e.g., article_vectors)

Value

dataframe, a modified version of input_df containing MDS coordinates and cluster information useful for plotting

Details

columns are:

  • formatted_column for printing abstract info HTML

  • title abstract title

  • wrap_title useful for plotly hover labels

  • year abstract year

  • index abstract index

  • Similarity of search term to abstract

  • X x coordinate from MDS

  • Y y coodinate from MDS

  • cluster from k-means clustering

Examples


search <- c("president")
article_dataframe<-get_search_article_similarities(search,query_type=1)
MDS <- get_mds_article_fits(10,2,c(1947,1948),article_dataframe)