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title

Improving the Accuracy of Analyzing the Opinions and Sentiments of Users in Persian Comments using a Combination Method of Classification Techniques in Web Data Mining

Credit to Download: 1 | Page Numbers 13 | Abstract Views: 85
Year: 2018
COI code: TECCONF04_064
Paper Language: English

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Authors Improving the Accuracy of Analyzing the Opinions and Sentiments of Users in Persian Comments using a Combination Method of Classification Techniques in Web Data Mining

  seyedeh dormanki farahani - Department of Computer, Faculty of Engineering, Islamic Azad University, Damavand Branch,Damavand, Iran
  JAVAD HOSSEINKHANI - Department of Computer, Faculty of Engineering, Islamic Azad University, Zahedan Branch, Zahedan,Iran

Abstract:

With the development of information systems, data has become one of the most important sources of organizations. Therefore, methods and techniques are needed to efficiently access data, share data, extract data from data, and use this information. By creating and expanding the Web and a significant increase in the volume of information and web development, the need for methods and techniques that can provide data efficiently and extract information from them is felt more than ever. Web mining is one of the areas of research that uses data mining techniques to automatically discover information from web services and documents. In fact, Web mining is a process of discovery of unknown and useful information from web data. Web mining methods are categorized into three types of web content exploration, exploration of Web structures, and exploration of the use of the Web, based on what type of data they are exploring. This research investigates the relationship between the idea of mining and other research fields and examines some of the previous methods used. Finally, a method is proposed based on two decision tree and machine model algorithms that will improve the results of the idea of mining. . The results of the simulation of the proposed method were evaluated and compared with the previous methods. The results show that the proposed method has higher accuracy and speed

Keywords:

Opinion analysis, Accuracy improvement, Persian commentary, Web mining dataclassification techniques.

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COI code: TECCONF04_064

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farahani, seyedeh dormanki & JAVAD HOSSEINKHANI, 2018, Improving the Accuracy of Analyzing the Opinions and Sentiments of Users in Persian Comments using a Combination Method of Classification Techniques in Web Data Mining, Forth National Conference on Electrical and Computer Engineering, تهران, دانشگاه پيام نور, https://www.civilica.com/Paper-TECCONF04-TECCONF04_064.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (farahani, seyedeh dormanki & JAVAD HOSSEINKHANI, 2018)
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Type: Azad University
Paper No.: 1426
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