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Title: | Aspect – opinion – category – sentiment – quadruple extraction using the generative framework for aspect based sentiment analysis. | Authors: | Duy Hoang Cao | Keywords: | Aspect based sentiment analysis;Generative framework | Issue Date: | 2022 | Abstract: | With the idea of the thesis in mind, organizing the thesis for an easier reading experience is required. In order to explain every aspect of the thesis in great detail, the rest of the report will be split into six chapters: • Chapter 2 focuses the ACOS subtask, what the previous subtasks are and the reason why ACOS came to be. • Chapter 3 talks about the BARTABSA model, explaining the components of the model and how it works. • Chapter 4 talks about the changes made on BARTABSA, what problems needed to be considered in order for it to solve ACOS and how the problem was dealt. • Chapter 5 lists out the parameters used to train the model, what dataset was used, the optimizer, learning rate, machines that were used to train it. • Chapter 6 analyzes the results of the model, how our model improves from the previous models, what our model’s weaknesses are and aspects to be improved upon. • Chapter 7 – the final chapter - concludes the thesis with an overview of the thesis, along with ideas for future work. With the chapters in place, the concepts and content of the thesis will be presented in an organized manner. All information about the thesis and the background knowledge needed to understand it will be explained in depth in their dedicated chapters. |
URI(1): | https://epub.vgu.edu.vn/handle/dlibvgu/1766 | Rights: | Attribution-NonCommercial 4.0 International |
Appears in Collections: | Computer Science (CS) |
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Aspect – opinion – category – sentiment – quadruple extraction using the generative framework for aspect based sentiment analysis..pdf | 2.87 MB | Adobe PDF |
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