Depression and anxiety detection through the closed-loop method using DASS-21

Abstract

The change of information and communication technology has brought many changes in daily life. The way humans interacting is changing. It is possible to express each form of communication directly and instantly. Social media has contributed data in size, diversity and capacity and quality. Based on it, the idea was to see and measure the tendency of depression and anxiety through social media using the Closed-Loop method using Facebook text mining posts. Through the stages of pre-processing including text extraction using the Naïve Bayes machine learning model for text classification, the early signs of depression and anxiety are measured using DASS-21 parameter. In total, 22,934 Facebook posts were contributed as training and learning data collected from July 2017 until July 2018. As a results, analysis and mapping of social demographics of users that are usually as a trigger of depression, and anxiety, such as grief, illness, household affairs, children education and others are available.

Influencing factors, prediction and prevention of depression in college students: A literature review

“…Addiction to social software is often more likely to induce depression, while college students at high risk of depression are more inclined to vent their negative emotions and relieve stress on various online social platforms. In this way, social network behavior analysis was developed based on machine learning as another effective way to identify and predict depression[ 80 , 81 ]. Through mining, emotion analysis and emotion recognition of personal user information data on social network platforms, we can capture the abnormal behavior patterns of people with depression, among which the most frequently used communication methods are text, emoticons, user log-in information and pictures.…”

Economic technology analysis of LTE advanced pro dual spectrum licensed and unlicensed access using discounted cash flow methods

“…To calculate the capacity of uplink and downlink cells refers to the average SINR distribution parameter for 1800 MHz frequency and frequency of 5 GHz, using four bandwidths of 20 MHz (Nbr = 100), 15 MHz (Nbr = 75) 10 MHz (Nbr = 50), and 5 MHz (Nbr = 25), with a bandwidth of 20 MHz (Nbr = 100), using ( 6) and ( 7) with the following calculation results in Table 4 and Table 5. By using (8) and SINR parameters in the SINR average distribution table, the average cell throughput value can determine. After the value of the cell average throughput (MAC) is converted to the IP layer throughput.…”

“…To improve the signal quality in the building necessary to add a new system called In-building coverage solution, which is a system with transmitter and receiver devices installed inside that aims to serve the needs of telecommunications in the building in terms of signal quality, coverage and its traffic capacity [8]. LTE advanced pro by utilizing license assisted access (LAA) technology is a technology that uses an unlicensed and licensed spectrum, which is expected an answer to the problem [9].…”

A queue theory in the cross-polarization of antenna in satellite communication

“…Steady State is a situation where the system does not depend on the initial state or can be mentioned if the level of usefulness is less than 1 [1], [12]. From the data contained in Table 1 and Table 2 it is found: a) The average number of users that come (λ) is 2 users every 60 minutes b) The average service time is (μ) is 3 users every 60 minutes c) The value of usefulness of service facilities (ρ) which can be calculated using the formula [12], [26][27][28][29][30]:…”