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 Citation - WoS: 1The Effect of Training on Stress and Coping With Stress in Patients Receiving Infertility Treatment(Cukurova Univ, Fac Medicine, 2020) Eroglu, Nermin; Temiz, GamzePurpose: This study was planned and applied semi-experimentally to examine the effect of education given to patients receiving infertility treatment on stress and coping with stress. Materials and Methods: The study is semi-experimental. It was held between May 2017 and January 2018 with individuals who applied to a foundation hospital in Istanbul province for IVF treatment. The sample was made up of 40 infertile individuals. The data were collected by the researcher through face-to-face interview method. Training was given after pretesting. Post-test was performed one month after the training. Results: The pre-education stress scale of middle school graduates of infertile women was higher, this difference disappeared after education, and there was a statistically significant difference between the infertility stress and coping scale subscale mean scores. As the use of active ignoring, active struggling and passive ignoring coping methods of women, the use of the methods of coping with the infertility subscale scores increased, the infertility stress subscale scores increased.. Conclusion: In this study, the relationship between infertility and stress research was investigated and it was concluded that the treatment process and results are an important source of stress in patients. According to the results obtained, it is recommended to determine the stress level and methods of coping with stress, and provide training and counseling on patients who apply to the hospital for infertility treatment.