2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) 2015
DOI: 10.1109/ccece.2015.7129370
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A tweet grouping methodology utilizing inter and intra cosine similarity

Abstract: Twitter enables users to write and publish messages with a maximum of 140 characters. This is sometimes termed micro-blogging because individuals often use Twitter to communicate their thoughts, commentary or feelings about any given subject. Twitter's significant popularity and mass usage has resulted in any subject queried from the Twitter API that may return a vast number of tweets. These tweets can be related to several different categories. This paper proposes a hierarchical clustering system that groups … Show more

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Cited by 7 publications
(4 citation statements)
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“…Other clustering algorithms, such as hierarchical or agglomerative, were tested for similar tasks by Kaur (2015) [24] and Miyamoto et al (2012) [25]. However, these approaches counted occurrences of specific nouns or word sequences.…”
Section: Related Workmentioning
confidence: 99%
“…Other clustering algorithms, such as hierarchical or agglomerative, were tested for similar tasks by Kaur (2015) [24] and Miyamoto et al (2012) [25]. However, these approaches counted occurrences of specific nouns or word sequences.…”
Section: Related Workmentioning
confidence: 99%
“…www.business-inform.net бору даних твітів, щоб побачити, як вибір функції відстані впливає на поведінку алгоритмів ієрархічної кластеризації. Для динамічного створення широких категорій подібних твітів на основі появи іменників запропоновано інтегрований ієрархічний підхід агломеративної та подільної кластеризації [16].…”
Section: (477) Jel: L86 Tumanov O O Cluster-analyzing the Use And Sunclassified
“…These fields have numerous publications, however there is little research on summarization and representation of data on Twitter [3] [4] [5]. The publications about tweet clustering either miss semantic relations between tweets or are not suitable for big data.…”
Section: Motivationmentioning
confidence: 99%