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Answer: Natural language processing (NLP) is utilized to monitor and detect nuanced shifts in analyst sentiment, often preceding changes in investment recommendations.
**Explanation:** - **Option A (Tokenization):** Tokenization is unrelated to sentiment analysis, as it focuses on representing ownership rights on a blockchain. - **Option B (Data Curation):** While data curation ensures data quality, it does not directly analyze sentiment shifts in commentary. - **Option C (Natural Language Processing):** NLP is the correct choice because it can analyze textual data, such as analyst commentary, to detect subtle changes in sentiment that may not be reflected in explicit recommendations. This makes it a valuable tool for investment decision-making.
Author: LeetQuiz Editorial Team
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Which of the following techniques is most likely employed to identify sentiment shifts in an analyst's commentary?
A
Tokenization, which involves representing ownership rights to physical assets on a blockchain, is not capable of detecting sentiment shifts.
B
Data curation, the process of ensuring data quality and accuracy through cleaning, does not inherently identify sentiment shifts.
C
Natural language processing (NLP) is utilized to monitor and detect nuanced shifts in analyst sentiment, often preceding changes in investment recommendations.
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