以長短期記憶模型為基礎的語意理解及關鍵字生成

Semantic Understanding of Text and Key Words Generation using Long Short-Term Memory Recurrent Neural Network

郭豪育(Hao-Yu Kuo)

指導教授 ： 郭忠民

義守大學/智慧科技學院/資訊工程學系/碩士(2023年)

摘要

隨著科技與網路技術越來越普及，人們對於網路的依賴日益漸增，同時人們利用網路的資訊來做決策也愈來愈習慣，例如餐廳的好壞，電影好不好看…等等。而我們要解決的問題是，要怎麼快速有效地找到足夠的資訊，面對大量的資訊，要如何快速閱讀並理解訊息的內容，要如何從大量的訊息中歸納出有用的結論，並能以簡單明確的文字做出評價。
基於以上的動機，發展一個通用的智慧評價架構，其功能有蒐集訊息的技術、一個智慧的閱讀系統、以文字總結評價的結果，給出建議。將這些功能以深度學習的架構整合成一完整的系統，並能適用於任何評價的需要，為本研究的主要目的。

關鍵字

智慧評價 ； 蒐集訊息 ； 閱讀系統 ； 文字生成

並列摘要

With the advancements in Internet technology, people are becoming increasingly reliant on the Internet. They are using online information to make decisions such as determining the quality of food at a restaurant or the quality of a movie. To tackle this issue, it is important to find a way to quickly and efficiently collect information, understand its content accurately, and present the conclusions in simple, clear language.
In this paper, we propose a general intelligent evaluation framework that integrates the functions of information collection, intelligent reading, and evaluations using deep learning techniques. The goal of this research is to develop a comprehensive system that can be applied to any evaluation needs.

並列關鍵字

Intellectual review ； gathering messages ； reading system ； generating words

參考文獻

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