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Title: 跨平台社群媒體圖文檢索系統之設計與實作
Design and Implementation of a Text and Image Retrieval Tool for Cross-Platform Social Media Content
Authors: 許展嘉
Hsu, Chan Chia
Contributors: 陳恭
Chen, Kung
Hsu, Chan Chia
Keywords: 社群媒體
social media
information retrieval
Date: 2016
Issue Date: 2016-08-22 13:40:52 (UTC+8)
Abstract: 本校數位人文研究學者歷年研究中收集了選舉、災難、社運等重大事件的社群媒體文本資料,包含Twitter、Facebook、批踢踢BBS(PTT),以及網路即時新聞等來源。這些大量的話語資料反應了網路社群大眾及新聞媒體在重大事件發生時的意見、情緒與互動狀態,非常具有研究價值。但對於這些大量社群媒體文本內容一直未能做充分地分析,其主要原因在於缺乏有效的資料檢索系統來幫助他們探索與研究來自不同媒體來源的文本內容。
In the past few years, digital humanities researchers in our school have collected a huge amount of social media text data about major public events such as elections, disasters, social movements from various sources, namely Twitter, Facebook, PTT, real-time news. These text data can reflect largely the opinions, emotion, and interaction state, of the network community at the time of major events, thus being considered as valuable research assets. However, due to the lack of a proper information retrieval tool, these researchers have not been able to launch any in-depth studies on these social media text data.
Therefore, this thesis presents the design and implement an information retrieval system for these cross-media data sets based on the popular search engine, Elasticsearch. Our system first preprocesses the data and meta-data of these social media texts into a unified yet flexible data schema before building their indices in a way that users can search the full text from both the data proper and various meta-data attributes such as date of publication and authors. We also provide some visualization aid to display the search results in a user-friendly manner. Overall, our system serves as a good tool for researchers to explore the social media text data from various sources in an easy yet effectively way.
Reference: 1. NoSQL, from:
2. Elasticsearch-Definitive-Guide, from:
3. Elasticsearh Reference, from:
4. jQuery, from:
5. Spring Framework, from:
6. Hibernate, from:
7. Echarts, from:
8. Jest, from:
9. PostgreSQL, from:
Description: 碩士
Source URI:
Data Type: thesis
Appears in Collections:[資訊科學系碩士在職專班] 學位論文

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