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Bangla book review analysis with different word embedding and machine learning

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dc.contributor.author Abdul Al Motakabbir, Md.
dc.date.accessioned 2024-10-03T06:28:29Z
dc.date.available 2024-10-03T06:28:29Z
dc.date.issued 2024-01-26
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/13479
dc.description.abstract Different product review analysis recently attracted the attention of natural language processing specialists, thanks to positive customer comments and reviews spread around the web. The increasing number of e-commerce sites leads to a rise in the purchasing rate of various commodities. An illustration of this is the rapidly growing interest in literature among the general public. In today's era of internet technology, Bangladesh's e-commerce and online marketing sectors are already robust. Take online product reviews as an example; they've really taken off as a go-to resource for shoppers. Some say that a book is a person's closest companion. Books are indispensable for individuals as they offer insights into the external world, enhance literacy skills, and bolster memory and intellect. I aim to evaluate and rank reviews from Bangladesh and provide precise details on books and online bookstores. I objective is to aid book enthusiasts in making informed decisions when purchasing books and finding reliable online merchants. The word2vec and FastText algorithms were utilized to transform text into numerical values. I used five different classification algorithms, which are as follows: MNB, KNN, RF, SVC, and XGboost Classifier or Multinomial Naïve Bayes. An accuracy of 85.92% was attained by the Support Vector Classifier (SVC) using the FastText method. en_US
dc.publisher Daffodil International University en_US
dc.subject Natural language processing (NLP) en_US
dc.subject Word Embedding en_US
dc.subject Machine Learning en_US
dc.subject Feature Extraction en_US
dc.subject Bangla Book en_US
dc.title Bangla book review analysis with different word embedding and machine learning en_US
dc.type Other en_US


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