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SAS Global Forum 2008Data Mining and Predictive ModelingPaper 1472008A SAS Text Mining Approach to Predicting the Resolvability of Disputes between eBay's Sellers and Buyers Kevin Henning & Jiangxi
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How to fill out a sas text mining
How to fill out a SAS text mining:
01
Start by installing SAS software on your computer and make sure you have access to the SAS Text Miner module.
02
Launch SAS and open the Text Miner module.
03
Import your text data into the Text Miner. This can be done by clicking on the "Import Data" button and selecting the file or database that contains the text data you want to analyze.
04
Preprocess your text data to remove any irrelevant information or noise. This can include techniques such as removing stop words, stemming, or removing special characters. The Text Miner module provides various preprocessing options to choose from.
05
Create a text parsing rule to extract relevant information from your text data. This can involve defining patterns or keywords to search for in the text data. The Text Miner module allows you to define and customize these rules.
06
Apply the text parsing rule to your text data to extract the relevant information. This step will create new variables or columns in your data set that contain the extracted information.
07
Explore and analyze your text data using various text mining techniques such as term frequency analysis, clustering, sentiment analysis, or classification. The Text Miner module provides a range of tools and visualizations to help you with this analysis.
08
Interpret and present the results of your text mining analysis. This can involve creating reports, visualizations, or exporting the results to other software for further analysis or presentation.
Who needs a SAS text mining:
01
Data analysts: SAS text mining is a valuable tool for data analysts who work with large volumes of unstructured text data. It allows them to extract meaningful information and insights from this data, which can be used for decision making or further analysis.
02
Market researchers: Text mining can help market researchers analyze customer feedback, social media data, or survey responses to understand customer preferences, sentiment, or trends. This information can then be used to improve products, marketing campaigns, or customer service.
03
Fraud investigators: SAS text mining can be utilized by fraud investigators to detect fraudulent activities, such as identifying patterns or keywords that indicate potential fraud. This can help organizations minimize financial losses and prevent fraudulent behavior.
04
Business intelligence professionals: Text mining can enhance business intelligence efforts by uncovering patterns, relationships, or insights in text data that are not easily discovered through traditional analytics. This can provide valuable information for strategic planning, risk assessment, or competitive analysis.
05
Healthcare professionals: SAS text mining can be used in the healthcare industry to analyze medical records, patient feedback, or research articles to identify patterns, trends, or insights. This can help in disease surveillance, personalized medicine, or improving patient outcomes.
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What is a sas text mining?
SAS text mining is the process of extracting valuable information from unstructured text data.
Who is required to file a sas text mining?
Businesses or organizations that want to gain insights from text data are required to file a SAS text mining.
How to fill out a sas text mining?
To fill out a SAS text mining, one must use SAS software to preprocess and analyze text data to uncover patterns and trends.
What is the purpose of a sas text mining?
The purpose of SAS text mining is to discover hidden patterns, relationships, and insights from unstructured text data.
What information must be reported on a sas text mining?
In a SAS text mining report, information related to patterns, trends, sentiment analysis, and other insights from text data must be reported.
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