Open AccessNatural Language Processing and Machine Learning Classifier used for Detecting the Author of the Sentence
Author(s) -
Dr.M. Sheshikala,
Dr.D. Kothandaraman,
Dr.R.Vijaya Prakash,
G. Roopa
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c4098.098319
Subject(s) - computer science , sentence , artificial intelligence , natural language processing , support vector machine , preprocessor , classifier (uml) , set (abstract data type) , machine learning , programming language
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