/**
* Core sentiment detection method. doNota = none of the above
*
* @param captions (null/none = all)
*/
public Map<String, Collection<Document>> getEmotions(
Indexer indexer,
Collection<Document> docs,
boolean doNota,
boolean originalContentOnly,
String... captions) {
Collection<Lexicon1Lang> lexicons = getRelevantLexicon1Langs(docs);
Map<String, Collection<Document>> result = new LinkedHashMap<>();
Set<Document> docs_set = Util.castOrCloneAsSet(docs);
// aggregate results for each lang into result
for (Lexicon1Lang lex : lexicons) {
Map<String, Collection<Document>> resultsForThisLang =
(doNota
? lex.getEmotionsWithNOTA(indexer, docs_set, originalContentOnly)
: lex.getEmotions(indexer, docs_set, originalContentOnly, captions));
if (resultsForThisLang == null) continue;
for (String caption : resultsForThisLang.keySet()) {
Collection<Document> resultDocsThisLang = resultsForThisLang.get(caption);
Collection<Document> resultDocs = result.get(caption);
// if caption doesn't exist already, create a new entry, or else add to the existing set of
// docs that match this caption
if (resultDocs == null) result.put(caption, resultDocsThisLang);
else resultDocs.addAll(resultDocsThisLang);
}
}
// TODO: the result can be cached at server to avoid redundant computation (by concurrent users,
// which are few for now)
return result;
}
