Please use this identifier to cite or link to this item: http://dspace.dtu.ac.in:8080/jspui/handle/repository/19176
Title: BOOK GENRE PREDICTION USING LSTM
Authors: VERMA, NISHTHA
Keywords: BOOK GENRE
GENRE PREDICTION
LSTM
ML BASED SYSTEM
Issue Date: May-2022
Series/Report no.: TD-5764;
Abstract: Book genre prediction is a classification-based project where by applying various models of ML I have tried to predict the genre of book by using summary of book by using CMU book dataset that I have taken from Kaggle. I have performed text preprocessing and cleaning after that remove stop words and final on training model on dataset by taking different ratio and compare performance by F1-score and accuracy score. First part of project for machine training I have used supervised machine learning model like KNN, logistic regression and later I have moved to deep learning approach for that I have used lstm model. At last, I have made comparison based on performance matrix to judge the models and its accuracy.
URI: http://dspace.dtu.ac.in:8080/jspui/handle/repository/19176
Appears in Collections:M.E./M.Tech. Information Technology

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