| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Konstrukcija in analiza zelo velikih grafov ključnih besed
Authors:ID Kos, Tim (Author)
ID Taranenko, Andrej (Mentor) More about this mentor... New window
ID Duh, Andrej (Comentor)
Files:.pdf MAG_Kos_Tim_2015.pdf (500,25 KB)
MD5: 568ABA4AB8BAB41E6D02F581241A19E9
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:V magistrskem delu se lotevamo problema konstrukcije grafa ključnih besed iz velikega korpusa besedil. V grafu ključne besede predstavljajo vozlišča, ki so povezana s temami. Dve ključni besedi sta v grafu povezani z neko temo, v kolikor sta v nekem besedilu medsebojno odvisni in to besedilo pripada izbrani temi. V prvem delu so ob konstrukciji takšnega grafa predstavljene še metode za izluščitev ključnih besed in določitev tem besedila. Predstavljeno znanje nato uporabimo na konkretnem primeru. Nad celotno angleško Wikipedijo skonstruiramo graf in ga tudi analiziramo. Predstavimo splošne lastnosti grafa in argumentiramo dobljene rezultate pri analizi grafa. V zadnjem delu navedemo še nekaj primerov uporabe definirane strukture in predstavimo podatkovne baze, ki so za shranjevanje grafa primerne. Končna ugotovitev kaže na to, da graf ključnih besed ni uporaben le za iskanje po besedilih, ampak tudi za vse sorodne probleme, kot so: klasifikacija novega besedila in predlaganje podobnih besedil.
Keywords:graf ključnih besed, iskalnik po besedilih, ključne besede, klasifikacija besedila, analiza grafa
Place of publishing:Maribor
Publisher:[T. Kos]
Year of publishing:2015
PID:20.500.12556/DKUM-54052 New window
UDC:519.1:004(043.2)
COBISS.SI-ID:21559816 New window
NUK URN:URN:SI:UM:DK:CVIJOMLG
Publication date in DKUM:13.10.2015
Views:1505
Downloads:146
Metadata:XML DC-XML DC-RDF
Categories:FNM
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Secondary language

Language:English
Title:Construction and analysis of huge graphs from keywords
Abstract:This master's thesis deals with the problem of constructing a graph of keywords from a large text corpus. In graph, keywords represent vertices, while topics are being saved on edges. In a graph, two keywords are connected with a topic, if they are co-dependent in a text and if this text falls under this topic. In the first part, methods of extracting keywords and determining the topic of a text are presented alongside the construction of such a graph. The presented knowledge is then used on an actual case. A graph was constructed and analysed for the whole English Wikipedia. General characteristics of the graph are presented and the results of the graph analysis are explained. In the last part, some examples of the use of the defined structure are listed and databases suitable for the storage of the graph are presented. The main finding suggests that a graph of keywords is useful not only during text search but also for all similar problems, such as: classification of new and suggestion of similar texts.
Keywords:graph from keywords, search engine for texts, keywords, text classification, graph analysis


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica