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diff --git a/vendor/github.com/DavidBelicza/TextRank/v2/textrank.go b/vendor/github.com/DavidBelicza/TextRank/v2/textrank.go
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+++ b/vendor/github.com/DavidBelicza/TextRank/v2/textrank.go
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+package textrank
+
+import (
+	"github.com/DavidBelicza/TextRank/v2/convert"
+	"github.com/DavidBelicza/TextRank/v2/parse"
+	"github.com/DavidBelicza/TextRank/v2/rank"
+)
+
+// TextRank structure contains the Rank data object. This structure is a wrapper
+// around the whole text ranking functionality.
+type TextRank struct {
+	rank *rank.Rank
+}
+
+// NewTextRank constructor retrieves a TextRank pointer. This is the 1th step to
+// use TextRank.
+func NewTextRank() *TextRank {
+	return &TextRank{
+		rank.NewRank(),
+	}
+}
+
+// NewDefaultRule function retrieves a default Rule object what works in the
+// most cases in English or similar Latin languages like French or Spanish. The
+// Rule defines raw text how should be split to sentences and words. Because
+// Rule is an interface it's possible modify the ranking by inject different
+// Rule implementation. This is the 2nd step to use TextRank.
+func NewDefaultRule() *parse.RuleDefault {
+	return parse.NewRule()
+}
+
+// NewDefaultLanguage function retrieves a default Language object. It defines
+// what words are real and what words are just Stop Words or useless Junk Words.
+// It uses the default English Stop Words, but it's possible to set different
+// Stop Words in English or any other languages. Because Language is an
+// interface it's possible to modify the ranking by inject different Language
+// implementation. This is the 3rd step to use TextRank.
+func NewDefaultLanguage() *convert.LanguageDefault {
+	return convert.NewLanguage()
+}
+
+// NewDefaultAlgorithm function retrieves an Algorithm object. It defines how
+// should work the text ranking algorithm, the weighting. This is the general
+// text rank by weighting the connection between the words to find the strongest
+// phrases. Because Algorithm is an interface it's possible to modify the
+// ranking algorithm by inject different implementation. This is the 4th step to
+// use TextRank.
+func NewDefaultAlgorithm() *rank.AlgorithmDefault {
+	return rank.NewAlgorithmDefault()
+}
+
+// NewChainAlgorithm function retrieves an Algorithm object. It defines how
+// should work the text ranking algorithm, the weighting. This is an alternative
+// way to ranking words by weighting the number of the words. Because Algorithm
+// is an interface it's possible to modify the ranking algorithm by inject
+// different implementation. This is  the 4th step to use TextRank.
+func NewChainAlgorithm() *rank.AlgorithmChain {
+	return rank.NewAlgorithmChain()
+}
+
+// Populate method adds a raw text to the text-ranking graph. It parses,
+// tokenize the raw text and prepares it to weighting and scoring. It's possible
+// to append a new raw text to an existing one even if the previously text is
+// already ranked. This is 5th step to use TextRank.
+//
+// text string must be a plain text from TXT or PDF or any document, it can
+// contain new lines, break lines or any unnecessary text parts, but it should
+// not contain HTML tags or codes.
+//
+// lang Language object can be loaded from NewDefaultLanguage function.
+//
+// rule Rule object can be loaded from NewDefaultRule function.
+func (textRank *TextRank) Populate(
+	text string,
+	lang convert.Language,
+	rule parse.Rule,
+) {
+	parsedText := parse.TokenizeText(text, rule)
+
+	for _, sentence := range parsedText.GetSentences() {
+		convert.TextToRank(sentence, lang, textRank.rank)
+	}
+}
+
+// Ranking method counts the words and connections between the words, then it
+// weights the numbers then normalize them in type float32 between 0.00 and
+// 1.00. This is the 6th step to use TextRank.
+//
+// algorithm Algorithm is the object of the weighting and scoring methods.
+func (textRank *TextRank) Ranking(algorithm rank.Algorithm) {
+	rank.Calculate(textRank.rank, algorithm)
+}
+
+// GetRankData method retrieves the Rank data to that case if the developer want
+// access to the whole graph and sentences, words, weights and all of the data
+// to analyze it or just implement a new search logic or finder method.
+func (textRank *TextRank) GetRankData() *rank.Rank {
+	return textRank.rank
+}
+
+// FindPhrases function retrieves a slice of Phrase structures by TextRank
+// object. The return value contains the sorted phrases with IDs, words, weights
+// and quantities by weight from 1 to 0. Weight is calculated from quantities of
+// relation between two words. A single phrase is from two words - not less and
+// more. (But it's possible to find chain of phrases by
+// FindSentencesByPhraseChain function.)
+func FindPhrases(textRank *TextRank) []rank.Phrase {
+	return rank.FindPhrases(textRank.rank)
+}
+
+// FindSingleWords function retrieves a slice of SingleWord structures by
+// TextRank object. The return value contains the sorted words with IDs, words,
+// weights and quantities by weight from 1 to 0. Weight is calculated from
+// quantities of word.
+func FindSingleWords(textRank *TextRank) []rank.SingleWord {
+	return rank.FindSingleWords(textRank.rank)
+}
+
+// FindSentencesByRelationWeight function retrieves a slice of Sentence
+// structures by TextRank object. The return value contains the ID of the
+// sentence and the sentence text itself. The slice is sorted by weight of
+// phrases from 1 to 0.
+func FindSentencesByRelationWeight(
+	textRank *TextRank,
+	limit int,
+) []rank.Sentence {
+
+	return rank.FindSentences(textRank.rank, rank.ByRelation, limit)
+}
+
+// FindSentencesByWordQtyWeight function retrieves a slice of Sentence
+// structures by TextRank object. The return value contains the ID of the
+// sentence and the sentence text itself. The slice is sorted by weight of word
+// quantities from 1 to 0.
+func FindSentencesByWordQtyWeight(
+	textRank *TextRank,
+	limit int,
+) []rank.Sentence {
+
+	return rank.FindSentences(textRank.rank, rank.ByQty, limit)
+}
+
+// FindSentencesByPhraseChain function retrieves a slice of Sentence structures
+// by TextRank object and slice of phrases. The return value contains the ID of
+// the sentence and the sentence text itself. The slice is sorted by weight of
+// word quantities from 1 to 0.
+//
+// textRank TextRank is the object of the TextRank.
+//
+// phrases []string is a slice of phrases. A single phrase is from two words, so
+// when the slice contains 3 words the inner method will search for two phrases.
+// The search algorithm seeks for "len(phrases)!". In case of three item the
+// possible combination is 3 factorial (3!) = 3 * 2 * 1.
+//
+//    rawText := "Long raw text, lorem ipsum..."
+//    rule := NewDefaultRule()
+//    language := NewDefaultLanguage()
+//    algorithm := NewDefaultAlgorithm()
+//
+//    Append(rawText, language, rule, 1)
+//    Ranking(1, algorithm)
+//
+//    FindSentencesByPhraseChain(1, []string{
+//        "captain",
+//        "james",
+//        "kirk",
+//    })
+//
+// The above code searches for captain james kirk, captain kirk james, james
+// kirk captain, james captain kirk, kirk james captain and james kirk captain
+// combinations in the graph. The 3 of words have to be related to each other
+// in the same sentence but the search algorithm ignores the stop words. So if
+// there is a sentence "James Kirk is the Captain of the Enterprise." the
+// sentence will be returned because the words "is" and "the" are stop words.
+func FindSentencesByPhraseChain(
+	textRank *TextRank,
+	phrases []string,
+) []rank.Sentence {
+
+	return rank.FindSentencesByPhrases(textRank.rank, phrases)
+}
+
+// FindSentencesFrom function retrieves a slice of Sentence structures by
+// TextRank object and by ID of the sentence. The return value contains the
+// sentence text itself. The returned slice contains sentences sorted by their
+// IDs started from the given sentence ID in ascending sort.
+func FindSentencesFrom(
+	textRank *TextRank,
+	sentenceID int,
+	limit int,
+) []rank.Sentence {
+
+	return rank.FindSentencesFrom(textRank.rank, sentenceID, limit)
+}