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Let sentiment intensity value of sentiment phrase with modifier be ME(w).
Define sentiment intensity value of sentiment word w as E(w).
Section 3 gives computation method for the sentiment value of sentiment phrase with modifier, as well as sentiment intensity analysis of micro-blog content.
Moreover, in a single short sentence, firstly, we should select sentiment words, and secondly, modify sentiment intensity value of sentiment words according to the weights of degree adverbs and negative words.
Consequently, we selected p = 3.5 to be applied in the sentiment combining formula Eq. 4. Figure 3 demonstrates how, for an average value of sentiment being equal to 20, 40, 60, 80 and 100, the value of FP/FN changes for different number of non-neutral words (1…5).
Both Barber and Napier-Fitzpatrick stressed that if something has been lost in the tipping and gift-giving world in recent years, it's the value of sentiment.
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In our setting, the value of the sentiment index represents the view about the respective market.
Empirically downtoners represent intensifiers that decrease value of the sentiment by 50%%.
Negative sentiment is building by leaps and bounds, but the declining price action of late is beginning to reduce the contrarian value of bearish sentiment indicators.
Therefore, the value of the sentiment feature of a text is assigned to one of three values (classes), that is, positive, negative, or neutral.
Consequently, the combining function should be able to model the relation between sentences depending on the number of non-neutral words and the value of the sentiment they contain.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com