A Fuzzy Approach for Persian Text Segmentation Based on Semantic Similarity of Sentences
نویسندگان
چکیده
Multi-Document summarization strictly needs distinguishing the similarity between sentences & paragraphs of texts because repeated sentences shouldn’t exist in final summary so in order to applying this anti-redundancy we need a mechanism that can determining semantic similarities between sentences and expressions and paragraphs and finally between texts. In this paper it’s used a fuzzy approach to determining this semantic similarity. We use fuzzy similarity and fuzzy approximation relation for gaining this goal. At first , lemma of Persian words and verbs obtained and then synonyms create a fuzzy similarity relation and via that relation the sentences with near meaning calculated with help of fuzzy proximity relation. So we can produce an anti-redundant final summary that have more valuable information.
منابع مشابه
Using Fuzzy LR Numbers in Bayesian Text Classifier for Classifying Persian Text Documents
Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...
متن کاملUsing Fuzzy LR Numbers in Bayesian Text Classifier for Classifying Persian Text Documents
Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...
متن کاملEnglish-Persian Plagiarism Detection based on a Semantic Approach
Plagiarism which is defined as “the wrongful appropriation of other writers’ or authors’ works and ideas without citing or informing them” poses a major challenge to knowledge spread publication. Plagiarism has been placed in four categories of direct, paraphrasing (rewriting), translation, and combinatory. This paper addresses translational plagiarism which is sometimes referred to as cross-li...
متن کاملEXTRACTION-BASED TEXT SUMMARIZATION USING FUZZY ANALYSIS
Due to the explosive growth of the world-wide web, automatictext summarization has become an essential tool for web users. In this paperwe present a novel approach for creating text summaries. Using fuzzy logicand word-net, our model extracts the most relevant sentences from an originaldocument. The approach utilizes fuzzy measures and inference on theextracted textual information from the docu...
متن کاملProducing a Persian Text Tokenizer Corpus Focusing on Its Computational Linguistics Considerations
The main task of the tokenization is to divide the sentences of the text into its constituent units and remove punctuation marks (dots, commas, etc.). Each unit is a continuous lexical or grammatical writing chain that is an independent semantic unit. Tokenization occurs at the word level and the extracted units can be used as input to other components such as stemmer. The requirement to create...
متن کامل