Abstract
Sentiment analysis is a hot topic today. The purpose of this research is finding out sentimental state of a person or a group of people using data mining. The target of this research is building a user friendly interface for general people, so that they will be able to see the analysis report very easily. This analysis process contains both supervised and unsupervised learning, which is a hybrid process. Analysis is done based on keywords, which is defined by the user. User is able to set the number of tweets he/she wants to analyze. We used web-based library for the system. The system is tested and found satisfactory result.
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Acknowledgements
This research was developed under Daffodil International University and it was our final year research based project. Our special thanks goes to DIU - NLP and Machine Learning Research LAB for their help and support. We would like to thank Subhenur Latif, Lecturer, Department of Computer Science and Engineering, Daffodil International University for her proper instructions. Any error in this research paper is our own and should not tarnish the reputations of these esteemed persons.
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Chowdhury, S.M.M.H., Ghosh, P., Abujar, S., Arina Afrin, M., Akhter Hossain, S. (2019). Sentiment Analysis of Tweet Data: The Study of Sentimental State of Human from Tweet Text. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 813. Springer, Singapore. https://doi.org/10.1007/978-981-13-1498-8_1
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