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Sentiment Analysis Via Applied Machine Learning Algorithms From Honda Review Data
Abstract
The reason behind this analytic debris is to evaluate the review data about the motorcycle Honda unicorn 150cc.Honda motor company ltd. is a Japanese public transport manufacturing organization which has their headquarters located in Minato, Tokyo, Japan. This work is allocated to contradict the review which is based on real time comments taken from the review session. Opinion mining or Emotion Artificial intelligence is a present formed field where the machine learning algorithms are used for the analysis of the information gathered from people’s real time opinions. The purpose behind this work is to predict the given motorcycles user satisfaction and negative opinions. The collected from “mouthshut.com”. Then the dataset was optimized and manually labeled and optimized for further analysis procedures. So, by our analysis we have accomplished our results about public inspections and comments which represents their thoughts on the model’s basics, this result of ours can be used in the sole purpose the company's upcoming motorcycle upgrades, modifications and overcoming motorcycles predicaments venture.
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Hasan, M. R., Salehin, M., Billah, M. M., Ahmed, K. T., & Mimi, A. K. (2023). Sentiment Analysis Via Applied Machine Learning Algorithms From Honda Review Data. International Journal of Advanced Scientific Discoveries, 1(1), online first. https://doi.org/10.66917/ijasd.a000006
Hasan, Md Rakibul, et al. “Sentiment Analysis Via Applied Machine Learning Algorithms From Honda Review Data.” International Journal of Advanced Scientific Discoveries, vol. 1, no. 1, 2023, pp. online first. doi:10.66917/ijasd.a000006
Hasan, Md Rakibul, Miraziz Salehin, Mohammad Mansur Billah, Khandaker Tanvir Ahmed, and Afsana Khondokar Mimi. “Sentiment Analysis Via Applied Machine Learning Algorithms From Honda Review Data.” International Journal of Advanced Scientific Discoveries 1(1) (2023): online first. https://doi.org/10.66917/ijasd.a000006
Hasan, M. R.; Salehin, M.; Billah, M. M.; Ahmed, K. T.; Mimi, A. K. (2023) ‘Sentiment Analysis Via Applied Machine Learning Algorithms From Honda Review Data’, International Journal of Advanced Scientific Discoveries, 1(1), pp. online first. doi:10.66917/ijasd.a000006
BibTeX
@article{msisijasd-a000006,
title = {Sentiment Analysis Via Applied Machine Learning Algorithms From Honda Review Data},
author = {Md Rakibul Hasan and Miraziz Salehin and Mohammad Mansur Billah and Khandaker Tanvir Ahmed and Afsana Khondokar Mimi},
journal = {International Journal of Advanced Scientific Discoveries},
year = {2023},
volume = {1},
number = {1},
doi = {10.66917/ijasd.a000006}
}Related articles
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