Monte Carlo Simulation Applied to Sentiment Analysis of Bengali Text

Kofi Sarker, Omar Bhuiyan, Ali Uddin

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2020.4402.013

1. Introduction

Small improvements in sentiment analysis of Bengali text can translate into significant savings across large-scale petrochemical processing. A parametric investigation is carried out with Monte Carlo simulation across a wide range of operating scenarios. Compared with the reference case, the proposed approach cut costs by approximately 9%. Practitioners can implement the recommendations using widely available tools and data.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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