Sethu, Amith Anand (2019) Are story outlines confined within seven basic plots? Masters thesis, Dublin, National College of Ireland.
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Abstract
This research will discuss on a unique method to model story plot data by analyzing the pattern of events in the text content and then clustering the story plots into seven categories that would imply a story outline. Processing the story outlines and categorizing stories based on pattern of events in stories will aid in improving recommender systems. The idea behind this type of a model is to cluster data based on context from the text data rather than just topic words present in the data. In this research a FrameNet classifier is modeled to classify the sentences into frames. the frame classifier model was built using a Linear Kernal SVM. The model showed a 67% accuracy predicting the frames. The sequence of frames are transformed into numeric representations and then clustered using k means clustering algorithm to fit within seven clusters. The model was evaluated using an elbow test and silhouette analysis to verify the number of clusters chosen which showed a good result of 6 as optimal number of clusters.
Item Type: | Thesis (Masters) |
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Subjects: | P Language and Literature > PR English literature Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software |
Divisions: | School of Computing > Master of Science in Data Analytics |
Depositing User: | Caoimhe Ní Mhaicín |
Date Deposited: | 11 Oct 2019 12:50 |
Last Modified: | 11 Oct 2019 12:50 |
URI: | https://norma.ncirl.ie/id/eprint/3846 |
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