|Survey on Sentence Similarity System|
|Kadam Darshan, Sahil Kadu, Nayan Joshi, Shubhangi Chavan|
|Cite This Article:|
Survey on Sentence Similarity System, International Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 6 ,Issue 8 ,Page(s):56-60 ,January 2020 ,Available :IJIRT148931_PAPER.pdf
|Semantic similarity, syntactic similarity, WordNet, Hindi similarity, Text similarity|
|The measure of how similar are the given sentences are, is the Sentences similarity which plays an important role in text-related research and application in area as text-mining. In this system we Pre-process the given sentences in a bag of words using tokenization, stemming and other Natural language techniques. Then we apply syntax similarity techniques and semantics similarity techniques. The syntax similarity technique finds the grammatical syntax similarity between sentences. The semantic similarity technique finds the semantic similarity between words, it creates a relationship between words and sentences through the meanings of the words.The technique used to calculate semantic similarity are cosine similarity, word order similarity and feature based similarity. In cosine similarity we find the cosine similarities between sentences, in word ordered similarity we find the Intersection word set of them which contains common words between the sentences and in feature based.The sentence similarity is used in plagiarism detection system, Question-Answering system, etc.|
|Unique Paper ID: 148931|
Publication Volume & Issue: Volume 6, Issue 8
Page(s): 56 - 60
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