combined in our approach[]{data-label="table:methods"}

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Sentiment140 Lexicon [@mohammad2013nrc]

&

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   It consists in a dictionary of words associated with positive and negative sentiments. The dictionary of Sentiment140 Lexicon contains 66,000 unigrams (single words), 677,000 bigrams (two-word sequence) and 480,000 of unigram–unigram pairs, unigram–bigram pairs, bigram–unigram pairs, or a bigram–bigram pairs.
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  : Description of individual methods combined in our approach[]{data-label="table:methods"}

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EmoLex [@journals/ci/MohammadT13] &

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   Also called NRC Emotion Lexicon, it is lexical method with up 10,000 word-sense pairs. Each entry lists the association of a word-sense pair with 8 basic emotions, but it also provides results as positive or negative feelings. We used EmoLex version 0.92 in our work.
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  : Description of individual methods combined in our approach[]{data-label="table:methods"}

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Opinion Finder [@wilson2005opinionfinder] &

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   Performs subjectivity analysis trough a framework with lexical analysis former and a machine learning approach latter.
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  : Description of individual methods combined in our approach[]{data-label="table:methods"}

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SentiStrength [@thelwall2013heart] &

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   SentiStrength was built with the use of supervised and unsupervised classification methods, SentiStrength Classifies positive and negative polarity strength (from 2 to 5) separately as the default setup of the method. We have used its option that just produces polarity results, ignoring the 