Natural Language Processing and Machine Learning Classifier used for Detecting the Author of the Sentence
M.Sheshikala1, D. Kothandaraman2, R.Vijaya Prakash3, G.Roopa4
1Dr.M.Sheshikala, CSE, S R Engineering College, Warangal, India.
2Dr.D. Kothandaraman, CSE, S R Engineering College, Warangal, India.
3Dr.R.Vijaya Prakash, CSE, S R Engineering College, Warangal, India 4G.Roopa, CSE, S R Engineering College, Warangal, India.
Manuscript received on 11 August 2019. | Revised Manuscript received on 18 August 2019. | Manuscript published on 30 September 2019. | PP: 936-939 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4098098319/19©BEIESP | DOI: 10.35940/ijrte.C4098.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Detecting the author of the sentence in a collective document can be done by choosing a suitable set of features and implementing using Natural Language Processing in Machine Learning. Training our machine is the basic idea to identify the author name of a specific sentence. This can be done by using 8 different NLP steps like applying stemming algorithm, finding stop-list words, preprocessing the data, and then applying it to a machine learning classifier-Support vector machine (SVM) which classify the dataset into a number of classes specifying the author of the sentence and defines the name of author for each and every sentence with an accuracy of 82%.This paper helps the readers who are interested in knowing the names of the authors who have written some specific words.
Index Terms: Natural Language Processing, Stemming, Stop words, Classifier.
Scope of the Article: Natural Language Processing