Changes in Mental State for Help-Seekers of Lifeline Australia's Online Chat Service: Lexical Analysis Approach.

ABSTRACT:

Background

Mental health challenges are escalating globally, with increasing numbers of individuals accessing crisis helplines through various modalities. Despite this growing demand, there is limited understanding of how crisis helplines benefit help-seekers over the course of a conversation. Affective computing has the potential to transform this area of research, yet it remains relatively unexplored, partly due to the scarcity of available helpline data.

Objective

This study aimed to explore the feasibility of using lexical analysis to track dynamic changes in the mental state of help-seekers during online chat conversations with a crisis helpline.

Methods

Lexical analysis was conducted on 6618 deidentified online chat transcripts collected by Lifeline Australia be

SUBMITTER: Mazzer K 

PROVIDER: S-EPMC12204239 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature