Construction informatics in Turkey: strategic role of ICT and future research directions

Construction Informatics deals with subjects ranging from strategic management of ICTs to interoperability and information integration in the construction industry. Studies on defining research directions for Construction Informatics have a history over 20 years. The recent studies in the area highlight the priority themes for Construction Informatics research as interoperability, collaboration support, intelligent sites and knowledge sharing. In parallel, today it is widely accepted in the Architecture/Engineering/Construction (AEC) industry that ICT is becoming a strategic asset for any organisation to deliver business improvement and achieve sustainable competitive advantage. However, traditionally the AEC industry has approached investing in ICT with a lack of strategic focus and low level of priority to the business. This paper presents a recent study from Turkey that is focused on two themes. The first theme investigates the strategic role of ICT implementations from an industrial perspective, and explores if organisations within the AEC industry view ICT as a strategic resource for their business practice. The second theme investigates the ‘perspective of academia’ in terms of future research directions of Construction Informatics. The results of the industrial study indicates that ICT is seen as a value-adding resource, but a shift towards the recognition of the importance of ICT in terms of value adding in winning work and achieving strategic competitive advantage is observed. On the other hand, ICT Training is found to be the theme of highest priority from the academia point of view

Turkish Sentiment Analysis Using BERT

28th Signal Processing and Communications Applications Conference, SIU (2020; Gaziantep, Turkey)While sentiment analysis is a popular research area, most of the research has been conducted for English and the number of studies for Turkish are rather limited. Limited resources for Turkish natural language processing (NLP) is one of the major challenges for Turkish NLP research. In order to overcome these limitations, we propose two approaches for Turkish sentiment analysis: 1) fine tuning multilingual model of BERT 2) using main model of BERT after machine translation of Turkish texts into English. We conducted experiments on Turkish movie and hotel review datasets where each review is labeled either positive or negative. Our methods achieve high accuracy scores such that in the movie dataset, our BERT models outperform existing methods

İnşaat Sektöründe Büyük Ölçekli Kuruluşlarda BİT Strateji ve Yatırımları

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