Analysis of Twitter hashtags: Fuzzy clustering approach

Zadeh L. A., Abbasov A. M., Shahbazova Ş.

Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2015, Washington, United States Of America, 17 - 19 August 2015, vol.2015-September, (Full Text) identifier

  • Nəşrin Növü: Conference Paper / Full Text
  • Cild: 2015-September
  • Doi nömrəsi: 10.1109/nafips-wconsc.2015.7284196
  • Çap olunduğu şəhər: Washington
  • Ölkə: United States Of America
  • Açar sözlər: Data visualization, Diamonds, Media, Pragmatics, Tagging, Twitter
  • Açıq Arxiv Kolleksiyası: Məqalə
  • Adres: Yox

Qısa məlumat

The overwhelming acceptance of social media creates opportunities to learn about facts and events that are echoed in posts, tweets and messages uploaded by users. Analysis of these data can lead to interesting observations and conclusions. Of special importance are aspects related to temporal and dynamic nature of these findings. This paper presents a simple fuzzy-based approach of pre-processing and analyzing Twitter hashtags. The obtained fuzzy clusters are further examined in order to gain insight related to temporal trends and patterns of.