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What is more, Bolzano had an unshakeable intuition that there are and must be such purely logical objects, namely "objective sentences" or "sentences in themselves" (Sätze an sich), and their parts, i.e., "objective ideas" or "ideas in themselves" (Vorstellungen an sich).
For feature selection, Pang and Lee [5] suggested to remove objective sentences by extracting subjective ones.
As neutral (objective) sentences do not contain sentiments, we assumed, in the case of these 2-class methods, that sentences with undefined polarities are equivalent to neutral sentences.
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There are both objective and subjective sentences in text, such as the sentence "She says, because her lab is used to study lots of things" is one objective sentence while "MacPhee would be happy to eat it!" is one subjective sentence.
An example of a subjective sentence having comparison is "The sound effects of game X are much better than that of game Y" whereas an example of objective sentence with comparison is "Game X has twice as many control options as that of Game Y".
Write an objective, factual sentence describing what happened.
There are both objective and subjective sentences in wireless platforms.
For the objective test, 15 sentences (about 60 s long) that were not included in the training data were arbitrarily selected from the database (identified with SDA01 ∼SDA01).
To establish the level of stimulus awareness (during fMRI scanning) after each block (duration of 10 s) participants were asked to make 2 separate judgments: an objective response ("meaningful sentences"/ nonwords") and a subjective (confidence) response ("knew"/ guessed").
Check whether the title of your abstract describes succinctly the main objective cited in Purpose sentences or whether the Purpose sentences refer to the content presented in Title.
For objective tests, fifteen test sentences were synthesized using four methods: (1) HMMSS: Baseline HMM-based synthesis without GV, (2) HMMSS + GV: HMMSS with GV, (3) HMMSS + VC: HMMSS combined with VC, (4) HMMSS + GV + VC: HMMSS + GV combined with VC (on both VC training and testing stages). .
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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