DWDM \ Text Mining

Text Mining (unstructured text documents --->Structured information)
Text Mining refers to extration of Text data sources.

Text Mining Steps Details
Gather / Collect Data is collected from different sources.
Preprocess Data Preparation and Transforamtion
index Fast access to stored data and search.
Mining Extraction of knowledge
Analysis User better understanding of data.


Text mining techniques
S.No Text mining techniques Details Tool
1 Retrieval Retrieves information from unstructured text Intelligent Miner, Text Analyst
2 Extraction Extract information from structured data source. Text Finder, Clear Forest Text
3 Categorization Document Based Categorization Intelligent Miner
4 Clustering Cluster collection of Documents, Clustering, Classification and analysis of text document. Intelligent Miner
5 Summarization Reduce Length by keeping its main points and overall meaning as it is Tropic Tracking Tool, Sentence Ext Tool


Text Mining Applications
S.No Application Name Details
1 Risk Management Used to manage the risk analysis in business by analyzing it.
2 Customer Care Service Used to automate response to the customer.
3 Fraud Detection to detect and prevent frauds with structured data
4 Business Intelligence Used to analyze the strengths and weaknesses of customers
5 Social Media Analysis Used to analyze unstructured data opinions, emotions and sentiment and their relations of various social networks
6 Spam Filtering It is used to filter the data which is non thing but spam.
7 Text mining Used to extract use full text from the data sources.


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