Do highlighted searches on PLOS Journals full-text content
highplos(
q,
fl = NULL,
fq = NULL,
hl.fl = NULL,
hl.snippets = NULL,
hl.fragsize = NULL,
hl.q = NULL,
hl.mergeContiguous = NULL,
hl.requireFieldMatch = NULL,
hl.maxAnalyzedChars = NULL,
hl.alternateField = NULL,
hl.maxAlternateFieldLength = NULL,
hl.preserveMulti = NULL,
hl.maxMultiValuedToExamine = NULL,
hl.maxMultiValuedToMatch = NULL,
hl.formatter = NULL,
hl.simple.pre = NULL,
hl.simple.post = NULL,
hl.fragmenter = NULL,
hl.fragListBuilder = NULL,
hl.fragmentsBuilder = NULL,
hl.boundaryScanner = NULL,
hl.bs.maxScan = NULL,
hl.bs.chars = NULL,
hl.bs.type = NULL,
hl.bs.language = NULL,
hl.bs.country = NULL,
hl.useFastVectorHighlighter = NULL,
hl.usePhraseHighlighter = NULL,
hl.highlightMultiTerm = NULL,
hl.regex.slop = NULL,
hl.regex.pattern = NULL,
hl.regex.maxAnalyzedChars = NULL,
start = 0,
rows = NULL,
errors = "simple",
proxy = NULL,
callopts = list(),
sleep = 6,
...
)Search terms (character). You can search on specific fields by doing 'field:your query'. For example, a real query on a specific field would be 'author:Smith'.
Fields to return from search (character) [e.g., 'id,title'], any combination of search fields [type 'data(plosfields)', then 'plosfields'].
List specific fields to filter the query on (if NA, all queried). The options for this parameter are the same as those for the fl parameter. Note that using this parameter doesn't influence the actual query, but is used to filter the resuls to a subset of those you want returned. For example, if you want full articles only, you can do 'doc_type:full'. In another example, if you want only results from the journal PLOS One, you can do 'journal_key:PLoSONE'. See journalnamekey() for journal abbreviations.
A comma-separated list of fields for which to generate highlighted snippets. If left blank, the fields highlighted for the LuceneQParser are the defaultSearchField (or the df param if used) and for the DisMax parser the qf fields are used. A '*' can be used to match field globs, e.g. 'text_*' or even '*' to highlight on all fields where highlighting is possible. When using '*', consider adding hl.requireFieldMatch=TRUE.
Max no. of highlighted snippets to generate per field. Note: it is possible for any number of snippets from zero to this value to be generated. This parameter accepts per-field overrides. Default: 1.
The size, in characters, of the snippets (aka fragments) created by the highlighter. In the original Highlighter, "0" indicates that the whole field value should be used with no fragmenting. See https://cwiki.apache.org/confluence/display/solr/HighlightingParameters for more info
Set a query request to be highlighted. It overrides q parameter for highlighting. Solr query syntax is acceptable for this parameter.
Collapse contiguous fragments into a single fragment. "true" indicates contiguous fragments will be collapsed into single fragment. This parameter accepts per-field overrides. This parameter makes sense for the original Highlighter only. Default: FALSE.
If TRUE, then a field will only be highlighted if the query matched in this particular field (normally, terms are highlighted in all requested fields regardless of which field matched the query). This only takes effect if "hl.usePhraseHighlighter" is TRUE. Default: FALSE.
How many characters into a document to look for suitable snippets. This parameter makes sense for the original Highlighter only. Default: 51200. You can assign a large value to this parameter and use hl.fragsize=0 to return highlighting in large fields that have size greater than 51200 characters.
If a snippet cannot be generated (due to no terms matching), you can specify a field to use as the fallback. This parameter accepts per-field overrides.
If hl.alternateField is specified, this parameter specifies the maximum number of characters of the field to return. Any value less than or equal to 0 means unlimited. Default: unlimited.
Preserve order of values in a multiValued list. Default: FALSE.
When highlighting a multiValued field, stop examining the individual entries after looking at this many of them. Will potentially return 0 snippets if this limit is reached before any snippets are found. If maxMultiValuedToMatch is also specified, whichever limit is hit first will terminate looking for more. Default: Integer.MAX_VALUE
When highlighting a multiValued field, stop examining the individual entries after looking at this many matches are found. If maxMultiValuedToExamine is also specified, whichever limit is hit first will terminate looking for more. Default: Integer.MAX_VALUE
Specify a formatter for the highlight output. Currently the only legal value is "simple", which surrounds a highlighted term with a customizable pre- and post text snippet. This parameter accepts per-field overrides. This parameter makes sense for the original Highlighter only.
The text which appears before and after a highlighted term when using the simple formatter. This parameter accepts per-field overrides. The default values are "<em>" and "</em>" This parameter makes sense for the original Highlighter only. Use hl.tag.pre and hl.tag.post for FastVectorHighlighter (see example under hl.fragmentsBuilder)
The text which appears before and after a highlighted term when using the simple formatter. This parameter accepts per-field overrides. The default values are "<em>" and "</em>" This parameter makes sense for the original Highlighter only. Use hl.tag.pre and hl.tag.post for FastVectorHighlighter (see example under hl.fragmentsBuilder)
Specify a text snippet generator for highlighted text. The standard fragmenter is gap (which is so called because it creates fixed-sized fragments with gaps for multi-valued fields). Another option is regex, which tries to create fragments that "look like" a certain regular expression. This parameter accepts per-field overrides. Default: "gap"
Specify the name of SolrFragListBuilder. This parameter makes sense for FastVectorHighlighter only. To create a fragSize=0 with the FastVectorHighlighter, use the SingleFragListBuilder. This field supports per-field overrides.
Specify the name of SolrFragmentsBuilder. This parameter makes sense for FastVectorHighlighter only.
Configures how the boundaries of fragments are determined. By default, boundaries will split at the character level, creating a fragment such as "uick brown fox jumps over the la". Valid entries are breakIterator or simple, with breakIterator being the most commonly used. This parameter makes sense for FastVectorHighlighter only.
Specify the length of characters to be scanned by SimpleBoundaryScanner. Default: 10. This parameter makes sense for FastVectorHighlighter only.
Specify the boundary characters, used by SimpleBoundaryScanner. This parameter makes sense for FastVectorHighlighter only.
Specify one of CHARACTER, WORD, SENTENCE and LINE, used by BreakIteratorBoundaryScanner. Default: WORD. This parameter makes sense for FastVectorHighlighter only.
Specify the language for Locale that is used by BreakIteratorBoundaryScanner. This parameter makes sense for FastVectorHighlighter only. Valid entries take the form of ISO 639-1 strings.
Specify the country for Locale that is used by BreakIteratorBoundaryScanner. This parameter makes sense for FastVectorHighlighter only. Valid entries take the form of ISO 3166-1 alpha-2 strings.
Use FastVectorHighlighter. FastVectorHighlighter requires the field is termVectors=on, termPositions=on and termOffsets=on. This parameter accepts per-field overrides. Default: FALSE
Use SpanScorer to highlight phrase terms only when they appear within the query phrase in the document. Default: TRUE.
If the SpanScorer is also being used, enables highlighting for range/wildcard/fuzzy/prefix queries. Default: FALSE. This parameter makes sense for the original Highlighter only.
Factor by which the regex fragmenter can stray from the ideal fragment size (given by hl.fragsize) to accomodate the regular expression. For instance, a slop of 0.2 with fragsize of 100 should yield fragments between 80 and 120 characters in length. It is usually good to provide a slightly smaller fragsize when using the regex fragmenter. Default: .6. This parameter makes sense for the original Highlighter only.
The regular expression for fragmenting. This could be used to extract sentences (see example solrconfig.xml) This parameter makes sense for the original Highlighter only.
Only analyze this many characters from a field when using the regex fragmenter (after which, the fragmenter produces fixed-sized fragments). Applying a complicated regex to a huge field is expensive. Default: 10000. This parameter makes sense for the original Highlighter only.
Record to start at (used in combination with limit when you need to cycle through more results than the max allowed=1000)
Number of results to return (integer)
(character) One of simple or complete. Simple gives http code and error message on an error, while complete gives both http code and error message, and stack trace, if available.
List of arguments for a proxy connection, including one or more of:
url, port, username, password, and auth. See proxy for
help, which is used to construct the proxy connection.
Optional additional curl options passed to
HttpClient
Number of seconds to wait between requests. No need to use this for a single call to searchplos. However, if you are using searchplos in a loop or lapply type call, do sleep parameter is used to prevent your IP address from being blocked. You can only do 10 requests per minute, so one request every 6 seconds is about right.
Further arguments passed on to solr_highlight
A list.
# NOT RUN {
highplos(q='alcohol', hl.fl = 'abstract', rows=10)
highplos(q='alcohol', hl.fl = c('abstract','title'), rows=10)
highplos(q='everything:"sports alcohol"~7', hl.fl='everything')
highplos(q='alcohol', hl.fl='abstract', hl.fragsize=20, rows=5)
highplos(q='alcohol', hl.fl='abstract', hl.snippets=5, rows=5)
highplos(q='alcohol', hl.fl='abstract', hl.snippets=5,
hl.mergeContiguous='true', rows=5)
highplos(q='alcohol', hl.fl='abstract', hl.useFastVectorHighlighter='true',
rows=5)
highplos(q='everything:"experiment"', fq='doc_type:full', rows=100,
hl.fl = 'title')
# }
Run the code above in your browser using DataLab