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What percent of the online data has been created in the past two years?

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שאלה #135504

		70%
		80%
done		90%
		95%

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Which of the following tasks in natural language processing involves determining the sentiment conveyed by a piece of text?

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שאלה #135508

		Search
done		Text classification - Sentiment Analysis
		Machine Translation
		Information Extraction-Question Answering

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מיין לפי דירוג חדש ישן

What does the task of Machine Translation involve?

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שאלה #135510

		Classifying text into different categories
		Analyzing sentiment in a piece of text
done		Translating text from one language to another
		Extracting information to answer questions

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Which natural language processing task focuses on extracting relevant information to answer specific questions?

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שאלה #135512

		Automatic Summarization
		Search
done		Information Extraction-Question Answering
		Topic modeling

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Automatic Summarization is a task in natural language processing that aims to:

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שאלה #135513

		Translate text from one language to another
		Classify text into different categories
		Extract relevant information to answer questions
done		Generate concise summaries of longer texts

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What is the primary objective of Topic modeling in natural language processing?

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שאלה #135514

		Determining the sentiment of a text
done		Identifying the main themes or topics in a collection of documents
		Translating text between different languages
		Extracting specific information to answer questions

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What characterizes power law distributions in natural language?

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שאלה #135520

done		A few elements with high frequency and the majority with low frequency
		Equal distribution of linguistic elements
		Linear distribution of word frequency
		Uniform distribution of document length

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What distinguishes knowledge-based methods from statistical methods in language modeling?

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שאלה #135521

		Knowledge-based methods focus on probabilistic inference.
		Statistical methods rely on symbolic knowledge representation.
		Knowledge-based methods utilize large collections of data.
done		Statistical methods rely on statistical models and machine learning.

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What is the function of lemmatization in natural language processing?

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שאלה #135523

		To identify and filter out common stop words.
		To convert words into bigrams for analysis.
sentiment_very_satisfied		To return the base or dictionary form of a word.
		To analyze the internal structures of language.

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What does a bigram represent in natural language processing?

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שאלה #135524

		A sequence of three adjacent words
done		A sequence of two adjacent elements from a string of tokens
		A single token in a corpus
		A complex linguistic structure

נערך לפני 5 חודשים Shachar Adam

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