Development of an API for EDU segmentation
This development initiative focused on creating an Application Programming Interface (API) to facilitate the utilization of some research models developed for Elementary Discourse Unit (EDU) segmentation. The existing codebase was enhanced to ensure optimization and increased flexibility throu...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/171834 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This development initiative focused on creating an Application Programming
Interface (API) to facilitate the utilization of some research models developed for
Elementary Discourse Unit (EDU) segmentation. The existing codebase was
enhanced to ensure optimization and increased flexibility through the
incorporation of customizable features.
Consequently, the outcome of this endeavour was the creation and distribution of
a Python package via the Python Package Index (PyPI). This package offers a
range of segmentation capabilities, thereby enabling public access and simplifying
the integration of these functionalities into various development projects or
downstream activities.
Additionally, the practical application of the EDU segmentation Python library
was showcased within the context of an aspect-based sentiment analysis task. This
task involved the evaluation of restaurant reviews sourced through the Yelp Fusion
API. By effectively integrating the EDU segmentation model, this project
successfully augmented its usability by introducing customization options and
facilitating its accessibility through package distribution. |
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