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dc.contributor.authorVERMA, NISHTHA-
dc.date.accessioned2022-06-07T06:20:06Z-
dc.date.available2022-06-07T06:20:06Z-
dc.date.issued2022-05-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/19176-
dc.description.abstractBook 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.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTD-5764;-
dc.subjectBOOK GENREen_US
dc.subjectGENRE PREDICTIONen_US
dc.subjectLSTMen_US
dc.subjectML BASED SYSTEMen_US
dc.titleBOOK GENRE PREDICTION USING LSTMen_US
dc.typeThesisen_US
Appears in Collections:M.E./M.Tech. Information Technology

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