Abstract
Sentence similarity plays an important role in many text-related research and applications such as information retrieval, information recommendation, natural language processing, machine translation and translation memory, and etc. Calculating similarity between sentences is the basis of measuring the similarity between texts which is the key to document classification and clustering. Sentence similarity partially depends on the word similarity. This system will display a similar text of field, areas and other facts in document retrieval. This paper uses a sentence matching method of the Levenshtein Distance algorithm. Thesimilarity between words can be calculated from the spelling of words or the meaning of words. Sentence similarity: The similarities between words in different sentences have a great influence on the similarity between two sentences. This system is retrieved from a similar sentence that included Theories, Methods and other facts in the document database.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advances in Scientific Research and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
