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How does text-mining improve decision-making?
text mining improve in decition making by Offering unique insights into customer behaviour and attitudes.
Is red ink unprofessional?
Red ink is normally used when correcting text and not in writing original text.
What is the difference between boss and supervisor?
Did you mean: the difference is that the boss bossesType text or a website address or translate a document.CancelExample usage of "":automatically translated by Googlela différence est que les patrons patron et le superviseur surveille
The purpose of developing a good reading process is to?
get meaning out of a text.
Explain the function of file management in computer?
The file is a system which you can save your text..
Text Mining?
The process of extracting high-quality data from unstructured text is known as text mining. Text mining, in its most basic form, seeks out facts, relationships, and affirmation from large amounts of unstructured textual data.
How would one explain text mining?
The method of obtaining essential information from standard language text data is known as text mining. Text mining is one of the most efficient and orderly techniques of processing and analyzing unstructured data (which accounts for almost 80% of all data on the planet). This is the information we generate through text messages, papers, emails, and files written in plain text. Huge amounts of data are collected and kept on cloud platforms and data warehouses, and it's difficult to keep storing, processing, and evaluating such massive amounts of data with traditional technologies. Text mining is typically used to extract useful insights or patterns from large amounts of data. This is when text mining comes in handy. The process of extracting high-quality data from unstructured text is known as text mining. Text mining, in its most basic form, seeks out facts, relationships, and affirmation from large amounts of unstructured textual data.
How does the online text analysis tool work?
Text analysis tool that is known as Text mining, is referred to by the experts as text data mining. This tool works is said to be the same as text analytic's that analyzes the text and then gathers statistics that could be beneficial to companies.
Distinguish between a qualitative data and quantitative data?
Within statistical analysis Quantitative data is numerical. It often measures the the subject studied in mathematical terms. Qualitative data is descriptive. This data describes the subject being studied in words or text. Such as how something looks or feels. How it interacts etc.
Different types of data mining?
Data mining involves extracting valuable insights from large datasets using various techniques. The primary types of data mining include classification, which assigns data into predefined categories; regression, which predicts continuous values; clustering, which groups similar data points together; association rule mining, which identifies relationships between variables; and anomaly detection, which identifies outliers or unusual patterns. These techniques are widely used across industries for decision-making and predictive analysis. To master these methods, enrolling in data mining and analytics courses, such as those offered by Uncodemy, can provide you with the necessary skills to excel in this field and enhance career prospects.
What is Lie detection data mining?
Lie detection data mining involves using computational techniques to analyze various forms of data—such as text, speech, or physiological signals—to identify signs of deception. By leveraging machine learning algorithms and statistical analysis, it seeks to uncover patterns that distinguish truthful statements from lies. This field integrates aspects of psychology, forensic science, and artificial intelligence, aiming to enhance the accuracy of traditional lie detection methods. Applications can range from security screenings to fraud detection in various industries.
Can a computer process qualitative data?
Yes with statistical software, computers can perform text-mining that analyse patterns in words and sentences.
How does text-mining improve decision-making?
text mining improve in decition making by Offering unique insights into customer behaviour and attitudes.
Data in a field whose data type is Text?
Text data
What is cap sensitive?
Cap sensitive refers to text input fields or search functions that distinguish between upper and lower case letters. This means that capital letters and lowercase letters are treated as distinct characters, impacting how data is interpreted or searched within a system or application.
What is the term for establishing the existence and frequency of concepts most often represented by words of phrases in a text?
That process is known as text mining or text analysis. It involves analyzing large amounts of text data to extract key concepts, topics, or themes present in the text. This can be done through techniques such as natural language processing, sentiment analysis, and machine learning.
What is the difference between string and class?
A string is a specific class that is used for dealing with text data
