C.) $61.43, x over 175.5 = 35 over 100. Cross multiply 175.5 by 35 and then divide over 100. You are left with $61.425, hope this helps.
Text mining helps companies tap into the massive volume of customer opinions expressed online.
<h3>What is text mining?</h3>
Similar to text analytics, text mining is the technique of extracting high-quality information from text. It is also known as text data mining. It entails "the automatic extraction of information from several written sources to create new, previously unknown information by computer."
The process of converting unstructured text into a structured format with the purpose of identifying significant patterns and fresh insights is known as text mining, also known as text data mining.
Natural language processing is used automatically in text mining to glean insightful information from unstructured material. Text mining automates the process of categorizing texts by sentiment, topic, and intent by converting data into knowledge that computers can comprehend.
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If the government wants to decrease the output by $36 billion then they should cut the expenditure by $18 billion.<u> (36/2) </u>should the government cut spending to achieve its objective.
<h3>Inflationary pressure:</h3>
Inflationary pressures are the underpinning causes of affectation. These pressures are the reason that the product of goods increases to meet or exceed consumer demand or that prices boost due to lack of force. Inflationary pressures beget the frugality to acclimate as a result of force and demand.
<h3>Why is there inflationary pressure?</h3>
Inflation can do when prices rise due to increases in product costs, similar as raw accoutrements and stipend. A swell in demand for products and indulgences can beget inflation as consumers are willing to pay further for the product.
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