Text Mining Seminar Report With PPT

INTRODUCTION

Text Mining is the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources. A key element is the linking together of the extracted information together to form new facts or new hypotheses to be explored further by more conventional means of experimentation. Text mining is different from what are familiar with in web search.
In search, the user is typically looking for something that is already known and has been written by someone else. The problem is pushing aside all the material that currently is not relevant to your needs in order to find the relevant information. In text mining, the goal is to discover unknown information, something that no one yet knows and so could not have yet written down.
Machine intelligence is a problem for text mining. Natural language has developed to help humans communicate with one another and record information. Computers are a long way from comprehending natural language. Humans have the ability to distinguish and apply linguistic patterns to text and humans can easily overcome obstacles that computers cannot easily handle such as slang, spelling variations and contextual meaning. However, although our language capabilities allow us to comprehend unstructured data, we lack the computer’s ability to process text in large volumes or at high speeds. Figure depicts a generic process model for a text mining application.
Starting with a collection of documents, a text mining tool would retrieve a particular document and preprocess it by checking format and character sets. Then it would go through a text analysis phase, sometimes repeating techniques until information is extracted.
Three text analysis techniques are shown in the example, but many other combinations of techniques could be used depending on the goals of the organization. The resulting information can be placed in a management information system, yielding an abundant amount of knowledge for the user of that system.

DOCUMENT IN COMPRESSED FILE

  • CERTIFICATE
  • DECLARATION
  • ACKNOWLEDGEMENT

“Text Mining” Seminar Report

Page Length: 20 Pages

Contents:

  • Abstract
  • Introduction
  • What Is Text Mining?
  • Text Mining Methods
  • Text Mining Tasks
  • Application
  • Trends
  • Process
  • Resources
  • Features
  • Text Mining And Data Mining
  • Value And Benefits
  • Approaches To Text Mining
  • Conclusion

Include with “Text Mining” PPT

Page Length: 21 Pages

Contents:

  • Abstract
  • Introduction
  • What is Text Mining ?
  • Text Mining Methods
  • Text Mining Tasks
  • Application
  • Trends

Size : 524 KB 

Price :   ₹ 30/-



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Author: Siddharth Vairagi

Siddharth Vairagi is Cyber Security and Networking expert and consultant. He have good experience in Ethical Hacking & Web Designing. He is also a best trainer of Ethical Hacking and Web Designing.

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