article · International Journal of Recent Technology and Engineering (IJRTE) · 2019
Rule Based Morphological Variation Removable Stemming Algorithm
Cited by 5Open access
Abstract
Sentiment analysis is a technique to analyze the people opinion, attitude, sentiment and emotion towards any particular object. Sentiment analysis has the following steps to predict the opinion of a review sentences. The steps are preprocessing, feature selection, classification and sentiment prediction. Preprocessing is the main important step and it consists of many techniques. They are Stop word Removal, punctuation removal, conversion of numbers to number names. Stemming is another important preprocessing technique which is used to transform the words in text into their grammatical root form and is mainly used to improve the retrieval of the information from the internet. It is applied mainly to get strengthen the retrieval of the information. Many morphological languages have immense amount of morphological deviation in the words. It triggered vast challenges. Many algorithms exist with different techniques and has several drawbacks. The aim of this paper is to propose a rule based stemmer that is a truncating stemmer. The new stemming mechanism in this paper has brought about many morphological changes. The new rule based morphological variation removable stemming algorithm is better than the existing other algorithms such as New Porter, Paice/Lovins and Lancaster stemming algorithm.
Cite this paper
Maheswari, S., & MCA., K. A. (2019). Rule Based Morphological Variation Removable Stemming Algorithm. International Journal of Recent Technology and Engineering (IJRTE), 8(4), 1809–1814. https://doi.org/10.35940/ijrte.c6200.118419
Maheswari, S, and K. Arthi MCA. “Rule Based Morphological Variation Removable Stemming Algorithm.” International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 4, 2019, pp. 1809–14, https://doi.org/10.35940/ijrte.c6200.118419.
Maheswari, S, and K. Arthi MCA. 2019. “Rule Based Morphological Variation Removable Stemming Algorithm.” International Journal of Recent Technology and Engineering (IJRTE) 8 (4): 1809–14. https://doi.org/10.35940/ijrte.c6200.118419.
Maheswari, S. and MCA., K.A. (2019) ‘Rule Based Morphological Variation Removable Stemming Algorithm’, International Journal of Recent Technology and Engineering (IJRTE), 8(4), pp. 1809–1814. Available at: https://doi.org/10.35940/ijrte.c6200.118419.
@article{maheswari2019rule,
title = {{Rule Based Morphological Variation Removable Stemming Algorithm}},
author = {Maheswari, S and MCA., K. Arthi},
journal = {International Journal of Recent Technology and Engineering (IJRTE)},
volume = {8},
number = {4},
pages = {1809--1814},
year = {2019},
doi = {10.35940/ijrte.c6200.118419}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.