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Transformer-based models like BERT (Bidirectional Encoder Representations from Transformers) are highly effective in sentiment analysis due to their ability to understand context and semantics in both directions of a sentence. Unlike traditional models, BERT processes the entire text bidirectionally, capturing subtle nuances, such as sarcasm, negations, or contextual modifiers, that significantly impact sentiment. For example, in a sentence like "The service was not bad," BERT accurately identifies the positive sentiment by considering the negation. Additionally, its pre-training on massive datasets and fine-tuning for specific tasks make it robust for domain-specific sentiment analysis, offering unparalleled accuracy compared to other NLP techniques. Why Other Options Are Incorrect:
If
x + y means x is a brother of y
x – y means x is a daughter of y
x × y means x is a sister of y
x ÷ y means x...
Which of the answer figure is the text mirror image of the given problem figure when the mirror is held vertically at the left side of the figure?
...In the following question, select the missing number from the given series.
451, 472, 493, 514, ?, 556
After arranging the given words according to dictionary order, which word will come at 'Fourth' position?
1. Wheel
2. Wheat
3...
Select the option that is related to the third word in the same way as the second word is related to the first word.
Lazy : Hard-working : : Wealthy : ?
If C = 24 and HOT = 38, then FEAR = ?
In a certain code language, 'PQRS' is written as "HIJK'. How will 'XYZA' be written as in the same coding language?
A statement is followed by two conclusions, numbered I and II. Find out which of the following conclusion(s) is/are true based on the given statements.<...
In a code language, tomato is called brinjal, brinjal is called radish, radish is called cabbage and cabbage is called okra. Which one of the following ...
If 7 * 5 @ 10 # 20 = 370 and 4 * 3 @ 5 # 30 = 90, then
2 * 3 @ 4 # 5 = ?