detect_sdg_systems: Detect SDGs in text

In text2sdg: Detecting UN Sustainable Development Goals in Text

Detect SDGs in text

Description

detect_sdg_systems identifies SDGs in text using multiple SDG query systems.

Usage

detect_sdg_systems(
  text,
  systems = c("Aurora", "Elsevier", "Auckland", "SIRIS"),
  sdgs = 1:17,
  output = c("features", "documents"),
  verbose = TRUE
)

Arguments

text	character vector or object of class tCorpus containing text in which SDGs shall be detected.
systems	character vector specifying the query systems to be used. Can be one or more of "Aurora", "Elsevier", "Auckland", "SIRIS" "SDSN", and "SDGO". By default all systems except "SDGO" and "SDSN" are used.
sdgs	numeric vector with integers between 1 and 17 specifying the sdgs to identify in text. Defaults to 1:17.
output	character specifying the level of detail in the output. The default "features" returns a tibble with one row per matched query, include a variable containing the features of the query that were matched in the text. By contrast, "documents" returns an aggregated tibble with one row per matched sdg, without information on the features.
verbose	logical specifying whether messages on the function's progress should be printed.

Details

detect_sdg_systems implements six SDG query systems. Four systems developed by the Aurora Universities Network (see aurora_queries), Elsevier (see elsevier_queries), Auckland University (see elsevier_queries), and SIRIS Academic (see siris_queries) rely on Lucene-style Boolean queries, whereas two systems, namely SDGO (see sdgo_queries) and SDSN (see sdsn_queries) rely on basic keyword matching. 'detect_sdg_systems' calls dedicated detect_* for each of the five system. Search of the queries is implemented using the search_features function from the corpustools package.

By default, detect_sdg_systems runs only the Aurora, Elsevier, Auckland, and Siris query systems, as they are considerably less liberal than the SDSN and SDGO systems and therefore likely produce more valid SDG classifications. Users should be aware that systematic validations and comparison between the systems are largely lacking and that results should be interpreted with caution.

Value

The function returns a tibble containing the SDG hits found in the vector of documents. The columns of the tibble depend on the value of output. Possible columns are:

document

Index of the element in text where match was found. Formatted as a factor with the number of levels matching the original number of documents.

sdg

Label of the SDG found in document.

system

The name of the query system that produced the match.

query_id

Index of the query within the query system that produced the match.

features

Concatenated list of words that caused the query to match.

hit

Index of hit for a given system.

n_hits

Number of queries that produced a hit for a given system, sdg, and document.

Examples

# run sdg detection
hits <- detect_sdg_systems(projects)

# run sdg detection with Aurora only
hits <- detect_sdg_systems(projects, systems = "Aurora")

# run sdg detection for sdg 3 only
hits <- detect_sdg_systems(projects, sdgs = 3)

text2sdg documentation built on March 31, 2023, 7:22 p.m.