Measuring Semantic Similarity between Words Using Web Documents
نویسندگان
چکیده
منابع مشابه
Measuring Semantic Similarity between Words Using Page Counts and Snippets
Web mining involves activities such as document clustering, community mining etc. to be performed on web. Such tasks need measuring semantic similarity between words. This helps in performing web mining activities easily in many applications. However, the accuracy of measuring semantic similarity between any two words is difficult task. In this paper a new approach is proposed to measure simila...
متن کاملComputing Semantic Similarity Measure between Words Using Web Search Engine
Semantic Similarity measures between words plays an important role in information retrieval, natural language processing and in various tasks on the web. In this paper, we have proposed a Modified Pattern Extraction Algorithm to compute the supervised semantic similarity measure between the words by combining both page count method and web snippets method. Four association measures are used to ...
متن کاملAn Integrated Approach to Measuring Semantic Similarity between Words Using Information Available on the Web
Measuring semantic similarity between words is vital for various applications in natural language processing, such as language modeling, information retrieval, and document clustering. We propose a method that utilizes the information available on the Web to measure semantic similarity between a pair of words or entities. We integrate page counts for each word in the pair and lexico-syntactic p...
متن کاملAn integrated approach for measuring semantic similarity between words and sentences using web search engine
Semantic similarity measures play vital roles in Information Retrieval (IR) and Natural Language Processing (NLP). Despite the usefulness of semantic similarity measures in various applications, strongly measuring semantic similarity between two words remains a challenging task. Here, three semantic similarity measures have been proposed, that uses the information available on the web to measur...
متن کاملAn integrated approach to measuring Semantic Similarity between Words using Information available on the Web
Measuring semantic similarity between words is vital for various applications in natural language processing, such as language modeling, information retrieval, and document clustering. We propose a method that utilizes the information available on the Web to measure semantic similarity between a pair of words or entities. We integrate page counts for each word in the pair and lexico-syntactic p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2010
ISSN: 2158-107X,2156-5570
DOI: 10.14569/ijacsa.2010.010414