INTRODUCTION A NEW METHOD FOR AUTOMATED INDEXING AND EXTRACTION OF KEYWORDS FOR INFORMATION RETRIEVAL AND TEXT CLUSTERING

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

RAD FARHAD; PARVIN HAMID; DEHBASHI ATOOSA; MINAEI BEHROUZ

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: SIGNAL AND DATA PROCESSING Year:2016 | Volume:- | Issue:1 (SERIAL 27) Page(s): 87-100

Download Full-Text

Persian Verion

View:

1,976

Download:

Cites:

Information Journal Paper

Title

INTRODUCTION A NEW METHOD FOR AUTOMATED INDEXING AND EXTRACTION OF KEYWORDS FOR INFORMATION RETRIEVAL AND TEXT CLUSTERING

Author(s)

RAD FARHAD | PARVIN HAMID | DEHBASHI ATOOSA | MINAEI BEHROUZ | Issue Writer Certificate

Keywords

KEYWORDS EXTRACTIONQ1

THESAURUSQ2

LINGUISTICSQ2

INFORMATION RETRIEVALQ1

Abstract

In Persian language, words can be in different correct grammatical structures in a specific sentence. This makes it impossible to define a set of specific rule set for coverage all correct sentences in Persian. Consequently automatic KEYWORDS EXTRACTION is a very challenging and complicated task in Persian. In this paper, it has been tried to extract more meaningful keywords by using linguistic information and THESAURUS. Using THESAURUS that has a structured organization, it can be possible to improve keywords network including Equivalence Relationship, Hierarchical Relationship, and Associative Relationship. By achieving this issue, we can improve the search results of internet users and text keywords and so search generality is enhanced.In the first step, unimportant and stop words are eliminated; then the stemming is accomplished. In the following to estimate a relative importance for each word, we assign a numerical weight for each word based on a weighting strategy. The assigned value of a word indicates how important the word is in the text. Considering all the mentioned issues, specially employing a THESAURUS, makes INFORMATION RETRIEVAL and text classification tasks more precise. Experimental results on a multi-topic dataset indicate the efficacy of the proposed method and superiority clustering performance of our method to the ones of others.

Cites

No record.

References

No record.

Cite

APA: Copy

RAD, FARHAD, PARVIN, HAMID, DEHBASHI, ATOOSA, & MINAEI, BEHROUZ. (2016). INTRODUCTION A NEW METHOD FOR AUTOMATED INDEXING AND EXTRACTION OF KEYWORDS FOR INFORMATION RETRIEVAL AND TEXT CLUSTERING. SIGNAL AND DATA PROCESSING, -(1 (SERIAL 27)), 87-100. SID. https://sid.ir/paper/160720/en

Vancouver: Copy

RAD FARHAD, PARVIN HAMID, DEHBASHI ATOOSA, MINAEI BEHROUZ. INTRODUCTION A NEW METHOD FOR AUTOMATED INDEXING AND EXTRACTION OF KEYWORDS FOR INFORMATION RETRIEVAL AND TEXT CLUSTERING. SIGNAL AND DATA PROCESSING[Internet]. 2016;-(1 (SERIAL 27)):87-100. Available from: https://sid.ir/paper/160720/en

IEEE: Copy

FARHAD RAD, HAMID PARVIN, ATOOSA DEHBASHI, and BEHROUZ MINAEI, “INTRODUCTION A NEW METHOD FOR AUTOMATED INDEXING AND EXTRACTION OF KEYWORDS FOR INFORMATION RETRIEVAL AND TEXT CLUSTERING,” SIGNAL AND DATA PROCESSING, vol. -, no. 1 (SERIAL 27), pp. 87–100, 2016, [Online]. Available: https://sid.ir/paper/160720/en

Related Journal Papers