Mga halimbawa ng paggamit ng Sentiment sa Ingles at ang kanilang mga pagsasalin sa Tagalog
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Colloquial
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Ecclesiastic
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Computer
A sea of sentiment.
The sentiment was felt through the set.
But the sentiment is welcome.
At least you could return the sentiment.
The sentiment is more profound now.
No one embodies that sentiment than my dad.
But this sentiment was not shared across the table.
Sorrow is an emotion,feeling, or sentiment.
I can't say that that sentiment was unexpected.
The sentiment that echoed in my mind was:“It could have been me.”.
These things did not retain enough sentiment for her stubborn spirit.
But now the sentiment is‘we will take care of each other.'”.
Next, a group of research assistants hand-labeled the sentiment of a sample of post.
This same sentiment is expressed by Widder in.
Finally, they used this model to estimate the sentiment of all 11 million posts.
This sentiment was taken up in American artist Gordon Matta-Clark's Office Baroque(1977).
In the meantime, anti-American sentiment is gaining ground in neighboring France.
Third, they trained a supervised learning model to classify the sentiment of posts.
I appreciate the sentiment, but also I kinda wish she hadn't!
Fourth, they used the supervised learning model to estimate the sentiment of all the posts.
Now, isn't that sentiment just lovely- a Rosary as a prayerful bouquet from the garden of our soul!
Second, the researchers hand-coded the sentiment of a small sample of posts.
While this sentiment is certainly true, imitation is far from flattery when it comes to copying someone else's work.
Third, the researchers trained a supervised learning model to classify the sentiment of posts.
Consumer sentiment can be used so as to see how optimistic or pessimistic people are towards the current market conditions.
Fourth, they used the supervised learning model to estimate the sentiment of all the posts.
The sentiment of the central bank when it is intending to increase interest rates, which may return in positive outcome on the currency.
Fourth, the researchers used the supervised learning model to estimate the sentiment of all the posts.
It's a sentiment indicator that highlights selected experts' near and medium term mood and calculates trends.