IJSTR

International Journal of Scientific & Technology Research

IJSTR@Facebook IJSTR@Twitter IJSTR@Linkedin
Home About Us Scope Editorial Board Blog/Latest News Contact Us
CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT
QR CODE
IJSTR-QR Code

IJSTR >> Volume 4 - Issue 6, June 2015 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



A Novel Approach For Syntactic Similarity Between Two Short Text

[Full Text]

 

AUTHOR(S)

Anterpreet Kaur

 

KEYWORDS

Keywords: Syntactic, similarity, natural language processing, semantic word distance, snippets, stopwords.

 

ABSTRACT

ABSTRACT: Syntactic similarity is an important activity in the area of high field of text documents, data mining, natural language processing, information retrieval. Natural language processing (NLP) is the intelligent machine where its ability is to translate the text into natural language such as English and other computer language such as c++. Web mining used for task such as document clustering, community mining etc to performed on web. However to find the similarity between the two documents is the difficult task. So with increasing scope in NLP require technique for dealing with many aspects of language, in particular, syntax, semantics and paradigms.

 

REFERENCES

[1] R. Menaha and G. Anupriya, “Semantic similarity between words using SWD and snippets,” International conference on current trends in advanced computing, 2013.

[2] Manasa.Ch and V. Ramana, “Measuring semantic simi-larity between words using page counts and snippets,” Manasa ch et al, International journal of computer science & communication network, vol 2(4), 553-558

[3] Yi Liu and Qiang Liu, “Sentence similarity computation based on feature set,” 13th International conferences on computer support cooperative work in design.

[4] Wenpeng Lu, Jinyong Cheng and Qingbo Yang, “ Question answering system based on web,” 5th Internatonal conference on intelligent computational technology and automation, 2012.

[5] Vasileios Hatzivassiloglou, Judith L. Klavans and Eleazar Eskin, “Detecting text similarity over short passages: Exploring linguistic feature combinations via Machine learning,” unpublished.

[6] Zhong Min Juan, “ An effective similarity measurement for FAQ Question Answering system,” International conference on electrical and control Engineering,2010.

[7] Federica Mandreoli, Riccardo Martoglia and Paolo Tiberio, “A Syntactic Approach for Searching Similarities within Sentences,” unpublished.

[8] Liu, X., Zhou, Y. and Zheng, R., “Measuring Semantic Similarity in Wordnet”, Proceeding of ICMLC2007 Conference, Hongkong, 2007.

[9] Linli Li, Xia Hu, Bi-Yun Hu, Jun Wang and Yi-Ming Zhou, “Meassuring Sentence Similarity from diffferent aspects,” Eighth International Conference on Machine Learning and Cybernetics,Baoding, 12-15 July 2009.

[10] Ko, Y., Park, J., and Seo, J., “Improving text categorization using the importance of sentences”, Information Processingand Management Vol. 40, No.1, pp. 65–79, 2004.

[11] Hongni Dong, Jiang Wu and Xiaohui Zhao, “Study on the calculation of text similarity based on key-sentence,” 2010 International Conference on E-Business and E-Government.

[12] Xinxin Zhao, Tiedan Zhu and Yushu Liu, “Document Classification in Different Granularity,” Computer Engineering.Vol.32 No.20, p.183-184, Oct 2006(In Chinese)

[13] Abolfazl Keighobadi Lamjiri, Leila Kosseim and Thiruvengadam Radhakrishnan, “Comparing the Contribution of Syntactic and Semantic Features in Closed versus Open Domain Question Answering,” International Conference on Semantic Computing.

[14] Takale, S.A. and Nandgaonkar, S.A (2010) ‘Measuring semantic similarity between words using web docu-ments’, IJASCA-International Journal of Advanced Computer Science and Applications, Vol 1, No.4,pp.78-82.