EXTRACTIVE PERSIAN SUMMARIZER FOR NEWS WEBSITES

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Hojati Kermani Fatemeh; GHANBARI SHIRIN

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2019 | Issue:5

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Information Seminar Paper

Title

EXTRACTIVE PERSIAN SUMMARIZER FOR NEWS WEBSITES

Author(s)

Hojati Kermani Fatemeh | GHANBARI SHIRIN

Keywords

EXTRACTIVE TEXT SUMMARIZATION

PRE-PROCESSING

PERSIAN NEWS ARTICLES

SALIENT FEATURES

STATISTICAL

HEURISTICAL AND SEMANTICAL

Abstract

AUTOMATIC EXTRACTIVE TEXT SUMMARIZATION IS THE PROCESS OF CONDENSING TEXTUAL INFORMATION WHILE PRESERVING THE IMPORTANT CONCEPTS. THE PROPOSED METHOD AFTER PERFORMING PREPROCESSING ON INPUT PERSIAN NEWS ARTICLES GENERATES A FEATURE VECTOR OF SALIENT SENTENCES FROM A COMBINATION OF STATISTICAL, SEMANTIC AND HEURISTIC METHODS AND THAT ARE SCORED AND CONCATENATED ACCORDINGLY. THE SCORING OF THE SALIENT FEATURES IS BASED ON THE ARTICLE’ S TITLE, PROPER NOUNS, PRONOUNS, SENTENCE LENGTH, KEYWORDS, TOPIC WORDS, SENTENCE POSITION, ENGLISH WORDS, AND QUOTATIONS. EXPERIMENTAL RESULTS ON MEASUREMENTS INCLUDING RECALL, F-MEASURE, ROUGE-N ARE PRESENTED AND COMPARED TO OTHER PERSIAN SUMMARIZERS AND SHOWN TO PROVIDE HIGHER PERFORMANCE.

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APA: Copy

Hojati Kermani, Fatemeh, & GHANBARI, SHIRIN. (2019). EXTRACTIVE PERSIAN SUMMARIZER FOR NEWS WEBSITES. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949063/en

Vancouver: Copy

Hojati Kermani Fatemeh, GHANBARI SHIRIN. EXTRACTIVE PERSIAN SUMMARIZER FOR NEWS WEBSITES. 2019. Available from: https://sid.ir/paper/949063/en

IEEE: Copy

Fatemeh Hojati Kermani, and SHIRIN GHANBARI, “EXTRACTIVE PERSIAN SUMMARIZER FOR NEWS WEBSITES,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2019, [Online]. Available: https://sid.ir/paper/949063/en

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