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Leveraging deep learning with sentiment analysis for Online Book reviews polarity classification model

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Abstract

Sentiment analysis (SA) identifies the opinions or feelings expressed as negative, positive or neutral. It exploits models namely natural language processing (NLP) and computational linguistics to detect personal data. Recently, SA gained significant interest and is highly related to text classification to determine the intent of the text posted by the user. On the other hand, online book reviews are considered as a recently developed customer feeder source. In the digital era, people can explore books and make choices based on online review sites. SA can be commonly utilized by methods based on lexicon, machine learning (ML), combined, or hybrid analysis. Deep learning (DL) models are presented to classify sentiments without requiring high-level attribute engineering. Therefore, this research develops an optimal deep learning-based sentiment analysis for the online book review classification technique. This research work aims to classify the sentiments of the online book reviews from Amazon Kindle. The data were pre-processed in different ways initially to transform the input book reviews into a meaningful format. Two approaches are used for feature extraction: N-grams and Global Vectors for Word Representation (Gloves). Besides, cascaded recurrent neural network (CRNN) and convolutional neural network (CNN) models are used for the review classification process. The experimental evaluation of this research work is validated by utilizing the Amazon-kindle-book-review dataset. The proposed Glove-CNN model illustrates superior accuracy, precision, recall, and F-score values of 98.00%, 96.95%, 96.13%, and 96.52% over other state-of-the-art techniques.

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  1. Department of Computer Science & Engineering, Annamalai University, Annamalai Nagar, Chidambaram , Cuddalore, TamilNadu, India

    R. Bharathi, R. Bhavani & R. Priya

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  1. R. Bharathi
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  2. R. Bhavani
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  3. R. Priya
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Correspondence to R. Bharathi.

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Bharathi, R., Bhavani, R. & Priya, R. Leveraging deep learning with sentiment analysis for Online Book reviews polarity classification model. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-20369-7

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