WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6
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Article Citation - WoS: 4Citation - Scopus: 5Qualitative and Artificial Intelligence-Based Sentiment Analysis of Turkish Tweets Related To Schizophrenia(Turkiye Sinir ve Ruh Sagligi dernegi, 2023) Dikec, Gul; Oban, Volkan; Usta, Mirac BarisObjective: The aim of this study was to qualitatively examine Turkish tweets about schizophrenia in respect of stigmatization and discrimination within a one-month period and to conduct emotional analysis using artificial intelligence applications. Method: Using the keyword 'schizophrenia,' Turkish tweets were gathered from the Python Tweepy application between December 19, 2020 and January 18, 2021. Features were extracted using the Bidirectional Encoder Representations from Transformers (BERT) method and artificial neural networks and tweets were classified as positive, neutral, or negative. Approximately 5% of the tweets were qualitatively analyzed, constituting those most frequently liked and retweeted. Results: The study found that, of the total of 3406 schizophrenia-related messages shared in Turkey over a period of one-month, 2996 were original, and were then retweeted a total of 1823 times, and liked by 25,413 people. It was determined that 63.4% of the tweets shared about schizophrenia contained negative emotions, 28.7% were neutral, and 7.71% expressed positive emotions. Within the scope of the qualitative analysis, 145 tweets were examined and classified under four main themes and two sub-themes; namely, news about violent patients, insult (insulting people in interpersonal relationships, insulting people in the news), mockery, and information. Conclusion: The results of this study showed that the Turkish tweets about schizophrenia, which were emotionally analyzed using artificial intelligence were found often to contain negative emotions. It was also seen that Twitter users used the term schizophrenia, not in a medical sense but to insult and make fun of individuals, frequently shared the news that patients were victims or perpetrators of violence, and the messages shared by professional branch organizations or mental health professionals were primarily for conveying information to the public.Article Digital Travel Memories: a Comparison of Physical and Online Travel Experiences in the Terms of Recollection(Marmara Univ, Fac Communication, 2022) Eyrek, AysunThe study aims to undertake a comparison of physical and online travel experiences in terms of their recollection and the differences between each experience. Digitalization of travel is explained as visiting a place virtually by means of digital devices instead of visiting it physically. In the first part of the research, in which both qualitative and quantitative research methods were used, the viewer comments written under two most-viewed walking tour videos on YouTube were examined by using sentiment and text analysis which are among the social network analysis methods. In the second of the research, focus groups study are conducted with qualitative and experimental design. The focus groups consist of participants who visited the two cities (selected as sample) either physically (control groups) or online (experimental group). In the sentiment analysis, it was concluded that the positive and neutral sentiment expressions were higher than negative expressions, and in the text analysis individuals approached the online walking tours as a travel experience., In the focus groups research, it was observed that the use of natural sounds, the high visual quality in the videos are effective on individual's recollection of their travel in the online travel experiences. The content of the memories of physical travel experiences is usually about human interactivity and social life. In both travel experiences, it was determined that the information obtained by the individuals about the place through the media strengthens the recall of the images of their travel experiences.