AI-900: Harnessing the Power of Natural Language Processing (NLP)

Explore the diverse applications of natural language processing (NLP) and its potential to classify email messages, predict car rentals, identify transactional website visitors, and enhance safety measures in factories. Discover the transformative capabilities of NLP technology in various industries and unlock new possibilities for automation and data-driven decision-making.

Question

Natural language processing can be used to ___________ .

A. Classify email messages as work-related or personal.
B. Predict the number of future car rentals.
C. Predict which website visitors will make a transaction.
D. Stop a process in a factory when extremely high temperatures are registered.

Answer

A. Classify email messages as work-related or personal.

Explanation

The correct answer is A. Classify email messages as work-related or personal.

Natural language processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and human languages, such as speech and text. NLP can be used to perform various tasks, such as sentiment analysis, machine translation, text summarization, question answering, and more.

One of the tasks that NLP can be used for is text classification, which is the process of assigning labels or categories to text documents based on their content. Text classification can be used for various purposes, such as spam detection, topic identification, sentiment analysis, and more.

One example of text classification is email classification, which is the task of sorting email messages into different folders or categories based on their content or purpose. For instance, email classification can be used to separate work-related emails from personal emails, or to filter out spam or promotional emails from important ones.

To perform email classification, NLP techniques such as tokenization, stemming, lemmatization, stop words removal, feature extraction, and machine learning algorithms can be used. These techniques help to preprocess the text data, extract relevant features, and train a classifier model that can predict the labels for new email messages.

Therefore, natural language processing can be used to classify email messages as work-related or personal, as this is an example of text classification, which is one of the applications of NLP.

Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.

Reference

Microsoft Learn > Azure > Architecture > Data Architecture Guide > Natural language processing technology

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