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Conflict analysis for Turkish debates using text mining and text segmentation techniques

Adem Karahoca, Dilek Karahoca, Efe Buyuk
2017 Global Journal of Computer Sciences Theory and Research  
Likewise, the main contribution of this study is that conflict analysis for Turkish debates can be applied with the techniques which are examined here and they are also suitable for other languages.  ...  Likewise, the main contribution of this study is that conflict analysis for Turkish debates can be applied with the techniques which are examined here and they are also suitable for other languages.Conflict  ...  Furthermore, emerging new ideas for an existing opinion is also a problem in sentiment analysis.  ... 
doi:10.18844/gjcs.v6i2.1651 fatcat:g5zqdviwvfhuxbyluh6umcbiy4

The COVID-19 Pandemic on the Turkish Twittersphere [article]

Burak Ozturan
2022 arXiv   pre-print
The scope of the analysis is not only health-related discussion but also includes a broader range of themes such as politics, economy, and disinformation.  ...  This study also collects 4.15 million Turkish tweets with keywords of vaccine ("aşı" in Turkish) from 4 April 2020 until 17 March 2021 to unpack the health of the information ecosystem.  ...  I used berturk-social-5m [23] for sentiment analysis of Turkish tweets with the keywords of "sinovac" and "biontech".  ... 
arXiv:2206.13742v1 fatcat:ec32llboozh5rfq6q7zngvacgi

'Refugees are not welcome': Digital racism, online place-making and the evolving categorization of Syrians in Turkey

Ozge Ozduzen, Umut Korkut, Cansu Ozduzen
2020 New Media & Society  
It examines varying racialization of Syrians on the Turkish Twittersphere, using sentiment and qualitative content analyses of hashtags and mentions on Syrians, when they hit Twitter trends for Turkey  ...  for a year, first, for mundane events and, second, during the Turkish state's occupation in Northern Syria.  ...  Acknowledgements The authors would like to thank Serkan Atesman for his help in the data analysis.  ... 
doi:10.1177/1461444820956341 fatcat:5ppolxhojbaznj2z3wp63ithre

Embedding-based Qualitative Analysis of Polarization in Turkey [article]

Mucahid Kutlu, Kareem Darwish, Cansin Bayrak, Ammar Rashed, Tamer Elsayed
2019 arXiv   pre-print
During the election period, the Turkish people extensively shared their political opinions on Twitter.  ...  On June 24, 2018, Turkey conducted a highly-consequential election in which the Turkish people elected their president and parliament in the first election under a new presidential system.  ...  QUALITATIVE ANALYSIS We compared the sentiment of different groups towards three types of categories, namely: 1) names of politicians; 2) political issues; and 3) lifestyle matters. 7.0.0.1 Sentiment Towards  ... 
arXiv:1909.10213v1 fatcat:hpmk5brf6rhj5j4czahupborom

Contents [chapter]

1932 American Relations with Turkey, 1830-1930  
THE BACKGROUND OF TURKISH AMERICAN RELATIONS Anti-Turkish Sentiment in America; New Interest in Turkey; Plan and Scope of the Book. II.  ...  Politics and Economics in Turkish American Relations VII.  ... 
doi:10.9783/9781512816389-002 fatcat:etsch7p7brgppf2ynnuej7phdy

To Be or Not To Be: Twitter Presence among Turkish Diplomats

H. Mehmetcik, E. Salihi
2022 Vestnik MGIMO-Universiteta  
Finally, according to the results of the content analysis, Turkish diplomats usually employ positive language in their tweets, as seen by the most frequently used terms, related emotions, and sentiment  ...  Secondly, we analyze content of tweets through calculation of their sentiment scores.The main findings indicate that the Twitter presence of Turkish diplomats is relatively limited and reliant on a few  ...  ; Weng, Lee 2011) and political discourse analysis (Johnson,Goldwasser 2016; Kasmani 2019; Yaqub, Chun, Atluri,Vaidya 2017) .  ... 
doi:10.24833/2071-8160-2022-3-84-175-201 fatcat:a6f7rhfnzvd2hg5lem2ledodae

Sentiment Analysis in Turkish [chapter]

Gizem Gezici, Berrin Yanıkoğlu
2018 Turkish Natural Language Processing  
In this chapter, we give an overview of sentiment analysis problem and present a system to estimate the sentiment of movie reviews in Turkish.  ...  Our approach combines supervised learning and lexicon-based approaches, making use of a recently constructed Turkish polarity lexicon called Sen-tiTurkNet.  ...  Analysis of Turkish political news and tweets has also attracted researchers' interest.  ... 
doi:10.1007/978-3-319-90165-7_12 fatcat:vdfv2qodtrcnvczh276bq4j6s4

A Hybrid Approach to Generating Adjective Polarity Lexicon and its Application to Turkish Sentiment Analysis

Rahim Dehkharghani, Faculty of Engineering, University of Bonab, Bonab, Iran
2018 International Journal of Modern Education and Computer Science  
Many approaches to sentiment analysis benefit from polarity lexicons.  ...  Among natural languages, Turkish, similar to other non-English languages suffers from the shortage of polarity resources.  ...  [29] investigated sentiment analysis of Turkish political news in online media.  ... 
doi:10.5815/ijmecs.2018.11.02 fatcat:iertseqkhvhkzfo4ogbsh6lqjy

Automated Text Analysis and International Relations: The Introduction and Application of a Novel Technique for Twitter

Emre Hatipoğlu, Osman Zeki Gökçe, İnanç Arın, Yücel Saygın
2018 All Azimuth A journal of foreign policy and peace  
To illustrate the usefulness of this technique, we present some of our findings from a project we conducted on Turkish sentiments on Twitter towards Syrian refugees.  ...  Systematic analysis of data from social media, however, poses various challenges for political analysis.  ...  News: The Automated Coding of Sentiment in Political Texts," Political Communication 29, no. 2 (2012): 205-31. 12 E.  ... 
doi:10.20991/allazimuth.476852 fatcat:hnxdgvdqq5hbvpbvc5z7gwfs7a

An Approach for Movie Review Classification in Turkish

Migena Ceyhan, Zeynep Orhan, Dimitrios Karras
2021 European Journal of Formal Sciences and Engineering  
Social media and general sentiment text analysis is of much valuable use, accomplishing the task extracting pure gold out of raw mineral.  ...  The key point of this investigation is to characterize new reviews automatically.  ...  Forthcoming research might exploit machine learning techniques for more significant feature refinement, reducing the feature sets in favor of performance and predicted accuracy.  ... 
doi:10.26417/328uno67t fatcat:methhxrjcnerrh2tjanw2wc2pq

Hard and Soft

Claes H. de Vreese, Hajo G. Boomgaarden, Holli A. Semetko
2008 European Union Politics  
Data analysis Our first interest is to assess the relative contribution of 'hard' versus 'soft' predictors of support for Turkish EU enlargement.  ...  when introducing new variables.  ... 
doi:10.1177/1465116508095149 fatcat:uhitivjlurdrxiexwmb3foplfy

Kriz Zamanlarında Nefret Söyleminin Billurlaşması: Türkiye'deki Suriyeliler Hakkında Yükselen Zehirli Dil
Crystallization of Hate Speech in Times of High-Profile Events: Rising Toxic Narratives About Syrians in Turkey

Mehmet VARIŞ, Nevfel BOZ
2022 TRT Akademi  
discourse becoming more prominent in Turkish political discourse.  ...  When we look at the content analysis of word groups, 62% are negative, 31% neutral, (announcement and news texts) and 7% are positive on Twitter Syrian agenda.  ... 
doi:10.37679/trta.1110767 fatcat:yxs23tcorbcfrgjglfetky6e7e

Turkish Sentiment Analysis System via Ensemble Learning

Saed ALQARALEH
2020 European Journal of Science and Technology  
In this paper, a new efficient sentiment analysis system that supports the Turkish language has been introduced.  ...  Nowadays, sentiment analysis (SA) also known as opinion mining (OM) is widely used and has an impressive effect in many fields, such as marketing, politics, and even, company's products are now adjusted  ...  In addition, in [14] and [15] , the performances of maximum entropy, Naive Bayes, SVM, and the character n-gram were investigated using a Turkish political news dataset.  ... 
doi:10.31590/ejosat.779181 fatcat:5joq3mu2b5ef3ownsrbo6hr4sm

Sentimental causal rule discovery from Twitter

Rahim Dehkharghani, Hanefi Mercan, Arsalan Javeed, Yucel Saygin
2014 Expert systems with applications  
Sentiment analysis refers to the task of extracting the sentiment of people from textual data.  ...  In this paper, we propose a new concept "sentimental causal rules" which incorporate causal relationships among different aspects extracted from textual data and the sentiment towards those aspects.  ...  To our knowledge, very few works have been accomplished on sentiment analysis of Turkish political issues. One example is [5] which investigated the Turkish political news in media.  ... 
doi:10.1016/j.eswa.2014.02.024 fatcat:hutzio2mcrdnjk6o7s5zpjh76a

Deep Sentiment Analysis: A Case Study on Stemmed Turkish Twitter Data

Harisu Abdullahi Shehu, Md. Haidar Sharif, Md. Haris Uddin Sharif, Ripon Datta, Sezai Tokat, Sahin Uyaver, Huseyin Kusetogullari, Rabie A. Ramadan
2021 IEEE Access  
recurrent neural network (RNN), convolution neural network (CNN), and hierarchical attention network (HAN) to classify the stemmed Turkish Twitter data for sentiment analysis.  ...  Sentiment analysis using stemmed Twitter data from various languages is an emerging research topic.  ...  ACKNOWLEDGMENT Authors thank to the anonymous reviewers for their appreciative and constructive comments on the draft of this paper.  ... 
doi:10.1109/access.2021.3071393 fatcat:peg4joyigrdwrdh7vq5ucqrfqy
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