Social media and clickstream analysis in Turkish news with apache spark

Didem Makaroğlu*, Altan Çakır, Koray Kocabaş

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Text analysis in the processing of deriving information from social media channels has become more crucial in recent years. These studies can be applied to social media data to answer wide variety of questions about consumers, brands, products or any other campaign strategies for the content producers. In this context, understand the sentiment or specific emotions expressed during the social media communication channels, mostly on Twitter, identify to intent about the corresponding content and any other stages of the consumer interest. In this study, one of the biggest Turkish news provider, Hürriyet, and its top-rated authors’ tweets are analyzed by using advanced natural language processing techniques. Due to the limitation of supported libraries for the Turkish language, preprocessing steps for unstructured datasets are studied with self-developed classes using machine learning techniques. Combining Twitter circulation together with the company’s clickstream data, we motivate to find the unique patterns for user’s attention on specific categories on the news content. By measuring the full value of digital media attention data through Twitter and click datasets, we will provide the ideal scenario for using controlled marketing experiments at the digital media sector in Turkey.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
EditorsCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
PublisherSpringer Verlag
Pages221-228
Number of pages8
ISBN (Print)9783030237554
DOIs
Publication statusPublished - 2020
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey
Duration: 23 Jul 201925 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1029
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019
Country/TerritoryTurkey
CityIstanbul
Period23/07/1925/07/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

  • Clickstream
  • Turkish natural language processing
  • Twitter

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