Recommendation of reviewers based on text analysis and machine learning : part b
This project aims to develop an automated system for recommendation of theses reviewers using Natural Language Processing (NLP) tools and state-of-the-art language models proposed in recent years. The review of theses or dissertations is crucial to access the research outcomes of Doctor of Philosoph...
Saved in:
Main Author: | Guo, Zechuan |
---|---|
Other Authors: | Lihui CHEN |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/139869 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Recommendation of reviewers based on text analysis and machine learning : part a
by: Liang, Ce
Published: (2020) -
A Review Text-based Recommendation System in Text Mining
by: Rinaldi, Rinaldi, et al.
Published: (2022) -
Techniques for scoring motive imagery in text - part B
by: Wong, Alvin Ann Ying
Published: (2019) -
Machine learning techniques for knowledge extraction from text
by: Wang, Zhaochun
Published: (2016) -
iReceipt : an intelligent expense tracker, based on receipt analysis and machine learning (B)
by: Tan, Chi Hui
Published: (2020)