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DC Field | Value | Language |
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dc.contributor.author | VERMA, NISHTHA | - |
dc.date.accessioned | 2022-06-07T06:20:06Z | - |
dc.date.available | 2022-06-07T06:20:06Z | - |
dc.date.issued | 2022-05 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/19176 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | TD-5764; | - |
dc.subject | BOOK GENRE | en_US |
dc.subject | GENRE PREDICTION | en_US |
dc.subject | LSTM | en_US |
dc.subject | ML BASED SYSTEM | en_US |
dc.title | BOOK GENRE PREDICTION USING LSTM | en_US |
dc.type | Thesis | en_US |
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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