Exam 10: Natural Language Processing - Text Mining and Sentiment Analysis

As soon as Paula types in "The best coffee" in her search engine query box, the words "near me" and "recipe" appear as suggestions. The search engine uses the ________ technique to make such real-time recommendations possible.

A text analytics computer program separated the phrase "I like cake" into three sections: "I," "like," and "cake." This is an example of ________ within the text preprocessing step.

In the preprocessing step of text analytics, the words "best" and "writing" were reduced to "good" and "write." This is an example of ________.

Which of the following techniques or algorithms is used in search engines to recommend the next character or word in real time when a user is typing a search query?

Explain how a marketer would use text classification to rate customer satisfaction.

Explain the N-gram technique of text analytics and include an example.

As per the text, which company applies natural language processing to make discoveries in social media conversations, so that it can make the best decisions about adding features such as seat heaters to its products?

Describe how companies such as Domino's Pizza team up with virtual assistants that use voice recognition software to facilitate customer ordering.

List and provide a description of the four steps of text analytics.

Describe how companies such as Avis and Dish Network use chatbots to enhance customer service.

The Clorox company has applied natural language processing to analyze social media conversations about cold and flu symptoms during the COVID-19 pandemic to optimize inventory in stores.

Which of the following is true of structured data?

Explain the difference in how the results are presented between a word cloud based on the Porter stemming algorithm and a word cloud based on the lemmatization algorithm.

According to the text, which of the following companies assesses user experiences using Brand 24, a social media monitoring app, to make additional improvements?

Describe how a frequency bar chart is used within the text exploration step of text analytics.

How does aspect-based sentiment analysis help companies capture a granular understanding of customer preferences?

Describe how the Royal Bank of Scotland uses text data from various sources to strengthen its customer relationships.

The Hidden Valley company uses natural language processing to identify and seize the opportunity to develop new products.