On Sentiment Analysis of Bengali Text

Hassan Fernandez, Andreas Iyer

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2018.4201.038

1. Introduction

Public concern over environmental degradation has sharpened the focus on sentiment analysis of Bengali text within petrochemical processing. This study employs support vector machines to characterise the phenomenon under a range of controlled conditions. Results indicate that sentiment analysis of Bengali text can be improved by up to 14% under the recommended configuration. These conclusions are likely to hold broader relevance beyond the specific cases examined.

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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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