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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 |
Files in This Item:
File | Description | Size | Format | |
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NISHTHA VERMA_M.Tech.pdf | 1.53 MB | Adobe PDF | View/Open |
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