Publications

Detailed Information

A Real-time News Monitoring System for Trend Analysis

DC Field Value Language
dc.contributor.advisor서종모-
dc.contributor.author왕재환-
dc.date.accessioned2017-07-14T02:43:10Z-
dc.date.available2017-07-14T02:43:10Z-
dc.date.issued2016-08-
dc.identifier.other000000136714-
dc.identifier.urihttps://hdl.handle.net/10371/122824-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 전기·정보공학부, 2016. 8. 서종모.-
dc.description.abstractIn recent years, internet news has become one of the most important channel for obtaining information. More and more people read the news through internet-connected computer, tablet, and smartphones. At the same time, the number of online media is also increasing explosively. News are constantly being reproduced, and as a result, the number of news is growing very fast. Consequently, getting the key point or issue from large amount of news in the internet is of great interest. This thesis covers the related work, theory, system implementation including how to crawl online news from internet, and how the system handles the online news data to obtain important information.-
dc.description.tableofcontents1. Introduction 4
1.1 Motivation 4
1.2 Limitations 4

2. Related work 5
2.1 Natural language processing 5
2.2 Part-of-speech tagging 6
2.3 Dendrogram 8

3. Methodology and implementation 9
3.1 System framwork 9
3.2 Hardware and software 10
3.3 Internews crawling 10
3.3.1 Introduction of Scrapy 10
3.3.2 JSON page crawling 13
3.3.3 Tailoring of the target field 15
3.3.4 Login issue 17
3.3.5 Disarming customized anti-bot 19
3.4 News data 20
3.5 Keywords extraction and evaluation 22

4. Results and discussion 23

5. Future work 25

Reference 26

초록 28
-
dc.formatapplication/pdf-
dc.format.extent2481871 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectNews Monitoring-
dc.subjectNature Language Processing-
dc.subjectTrend Analysi-
dc.subjectInternet News-
dc.subject.ddc621-
dc.titleA Real-time News Monitoring System for Trend Analysis-
dc.typeThesis-
dc.contributor.AlternativeAuthorWANG ZIHUAN-
dc.description.degreeMaster-
dc.citation.pages29-
dc.contributor.affiliation공과대학 전기·정보공학부-
dc.date.awarded2016-08-
Appears in Collections:
Files in This Item:

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share