Grammatical Error Checking and Polarity Determination of a Simple Sentence
Prof. S. K. Bandyopadhyay, University of Calcutta; Samir Bandyopadhyay ,University of Calcutta
Polarity Analysis, Grammar, and Natural Language Processing
Grammar (or syntax) means that the sentence is syntactically correct. The main purpose of a grammar to check whether sentence is free of syntax errors. An entire document or one sentence at a time is checked for grammatical construct. Opinion mining in terms of sentiment analysis to identify the nature of sentence like positive or negative polarity of text. In modern days several social sites indicated text in the form of comment, Part of Speech (POS) etc. These comments are sense as positive text or negative text. This sense will help to find out the accurate result with the help of sentiment analysis. The main objective of the paper is to read a text and separates it into sentences. First phase of the paper is to detect grammatical error in the sentences based on POS. The detection is based on some assumptions. The second phase is to determine the polarity of the grammatically correct sentence.
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[1] Sågvall Hein, A.” A chart-based framework for grammar checking – initial studies”, 11th Nordic Conference in Computational Linguistic, 1998.
[2] Dey, L., Haque, S.M. “Opinion mining from noisy text data”, Int. J. Document Anal. Recognition 12, 205–226, 2009.
[3] Neviarouskaya, A., Prendinger, H., Ishizuka, M.” Semantically distinct verb classes involved in sentiment analysis”, Proceedings of the International Conference on Applied Computing (AC 2009), Japan, 2009.
[4] Puneet Singh, Ashutosh Kapoor, Vishal Kaushik, and Hima Bindu Maringanti. “Architecture for auto- mated tagging and clustering of song less according to mood”, International Journal of Computer Science Issues, 2010.
[5] Jisha P. Jayan, Deepu S. Nair, Elizabeth Sherly “A subjective feature extraction for sentiment analysis in Malayalam language”, IEEE 2015.
[6] Rui Xia, Feng Xu, Chengqing Zong, Qianmu Li, Yong Qi and Tao Li, “dual sentiment analysis: considering two sides of one reviews”, IEEE 2015.
[7] Duyu Tang, Bing Qin, Furu Wei, Li Dong, Ting Liu and Ming Zhou , “A joint segmentation and classification frame work for sentence level sentiment classification ” , IEEE 2015.
[8] Yejin Choi and Claire Cardie “Learning with compositional semantics as structural inference for sub sentential sentiment analysis”, IEEE 2008.
[9] V.S.Jagtap and Karishma Pawar “Analysis of different approaches to sentence level sentiment classification”, IEEE 2013.
[10] Xiaoqian Zhang, Shoushan Li and Hongxia Zhao, “Polarity shifting: Corpus construction and analysis”, IEEE 2006.
Paper ID: GRDJEV02I070101
Published in: Volume : 2, Issue : 7
Publication Date: 2017-07-01
Page(s): 142 - 146
Published in: Volume : 2, Issue : 7
Publication Date: 2017-07-01
Page(s): 142 - 146