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    1

    Improving the Performance of Few-Shot Text Classification using Meta-Learning
    • Department of Information Management /111/ Master
    • Author: Yu-Ling Chuang Advisor:
    • In recent years, research on few-shot learning has been continuously increasing, aiming to address …
    • Clicks: 133Downloads: 0
    • Full text public date 2025/07/21 (Intranet public)
    • Full text public date 2025/07/21 (Internet public)
    • Full text public date 2025/07/21 (National library)

    2

    Stock Trend Prediction with Gated Recurrent Unit and Knowledge Graph Embedding
    • Department of Information Management /109/ Master
    • Author: Zih-Jie Hong Advisor:
    • For many years, investors were interested in the stock price trend to make a wise investment decisi…
    • Clicks: 205Downloads: 5

    3

    Optimized Extreme Learning Machine using Fruit Fly Optimization for Classification
    • Department of Information Management /107/ Master
    • Author: Dinar Nugroho Pratomo Advisor:
    • Extreme Learning Machine (ELM) is one of the learning methods of Artificial Neural Network, which h…
    • Clicks: 187Downloads: 0

    4

    Portfolio Construction based on Mutual Fund Holdings Using Recurrent Neural Network and Matrix Factorization
    • Department of Information Management /107/ Master
    • Author: Yuan-Chien Wu Advisor:
    •  For many people, there is often petty cash on hand that they can do some investment, hoping to gai…
    • Clicks: 191Downloads: 0
    • Full text public date 2024/08/20 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)

    5

    Prediction of Corporate Financial Distress and Credit Risk Index Using Topic Model and Deep Neural Network
    • Department of Information Management /107/ Master
    • Author: Bo-Lin Chen Advisor:
    • Due to the global economic downturn, many companies have faced financial distress, leading to the c…
    • Clicks: 305Downloads: 1
    • Full text public date 2021/08/20 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)

    6

    Detection of Fake News Using BERT with Sentiment Analysis
    • Department of Information Management /107/ Master
    • Author: Ying-Hung Chau Advisor:
    • Fake news has become a hot-button issue and received tremendous attention since the 2016 U.S. p…
    • Clicks: 548Downloads: 0
    • Full text public date 2024/08/21 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)

    7

    Aspect-Specific Heterogeneous Relational Graph Attention Neural Network for Aspect-Based Sentiment Analysis
    • Department of Information Management /109/ Master
    • Author: Yu-Ling, Wu Advisor:
    • Opinion mining is very popular for analyzing users' comments or product reviews on social media. Be…
    • Clicks: 161Downloads: 3

    8

    An Effective Distilled ESIM Model from BERT for Response Selection
    • Department of Information Management /109/ Master
    • Author: Ye Chen Advisor:
    • In this paper, we focus on Multi-Turn Response Selection. Pre-trained Language Models like BERT hav…
    • Clicks: 176Downloads: 51

    9

    GA-based Feature Selection for Protein Secondary Structure Prediction
    • Department of Information Management /109/ Master
    • Author: Fathurrochman Habibie Advisor:
    • Proteins are essential macromolecules for the structure and function of a cell. Interactions of pro…
    • Clicks: 167Downloads: 0

    10

    Aspect Term Sentiment Classification Using BERT Pre-trained Model and LSTMs
    • Department of Information Management /108/ Master
    • Author: Chung-Hung Kang Advisor:
    • In the past, the most common way to do sentiment analysis is to predict the sentiment of the whole …
    • Clicks: 208Downloads: 0
    • Full text public date 2025/08/21 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)