Mental disorders are a disease that cannot be physically seen, so diagnosing someone with a mental disorder is not easy. Due to the imperceptible nature of mental disorders, diagnosing a patient with a mental disorder is a challenging task. Therefore, detection in people with mental disorders can be done by looking at the symptoms they experience. One symptom in patients with mental disorders is solitude. Patients with mental disorders feel indifferent to their environment and focus on what is happening to them. Therefore, the patient looks for a place that can accommodate his feelings. Twitter is one of the most widely used media in measuring one's personality through everyday statements. The symptoms as suggested by psychologists can be explored more broadly using Natural Languages Processing. In this case, it takes a lexicon containing keywords that can show symptoms of depression. This study uses five criteria as a measure of mental health in a statement: sentiment, basic emotions, the use of personal pronouns, absolutist words, and negative words. The results show that the use of sentiments, emotions, and negative words in a statement is very influential in determining the level of depression. A depressed person more often uses negative words that indicate his self-despair, prolonged sadness, even suicidal thoughts (e.g. "sadly”, “scared”, “die”, “suicide”). In the classification process, using LSTM Deep Learning obtained an accuracy of 70.89%; precision of 50.24%; recall 70.89%.

The Covid-19 pandemic has shifted the way of social interaction includes the world of education. This phenomenon forces the learning system to adapt to educational technology (EdTech). This article aims to explain, analyze, and examine the digital literacy development in learning Arabic during the new normal era in MTsN 8 Tulungagung with the assumption that MTsN 8 Tulungagung has been able to implement a learning system that makes teachers and students easier to carry out distance learning. This research uses a qualitative approach with a phenomenological analysis method. The results show that the concept of digital literacy development includes organizational dimensions, the human resource dimension, the financial dimension, and infrastructure dimensions. Supporting factors are the availability of internet facilities and language laboratories, the availability of LCDs in every class, and teachers who can use PowerPoint media. The inhibiting factors are teachers and students that do not master technology and limited infrastructure to support the school innovation.