Designing a workplace harassment reporting platform framework using sentiment analysis
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Date
2026
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
Subtle and multi-faceted workplace harassment can leave victims hesitant to report incidents. This study aims to design a workplace harassment reporting platform framework enhanced by sentiment analysis to better capture and understand employee experiences. The study adopted a systematic, iterative research design structured into three interconnected phases—data collection and gathering, data analysis, and framework design —to develop a comprehensive workplace harassment reporting platform framework using sentiment analysis. The methodology combined an initial literature review on harassment systems, reporting platforms, and sentiment analysis with in-depth document analysis of organizational policies, HR workflows, and technical options, alongside the development and refinement of a design prototype specifying user roles, reporting flows, and dashboard-based monitoring. Insights and drawbacks identified through these analytic and design activities were fed back into an iterative framework construction process, ensuring that the final platform framework is theoretically grounded, operationally feasible, and capable of integrating sentiment analysis for prioritizing and managing harassment reports. The designed framework provides a structured yet flexible platform that integrates sentiment analysis to enhance the detection and interpretation of both explicit and implicit harassment reports. The framework supports multiple reporting channels, ensuring immediate accessibility and confidentiality for victims, while enabling organizations to monitor incidents in real-time through automated emotional cue analysis and thematic categorization. The established framework supports the formulation of timely and context-appropriate organizational interventions predicated upon the resulting sentiment insights, thereby positioning the integration of sentiment analysis within a harassment reporting platform as a promising solution to improve the detection and effective monitoring of workplace harassment.
Description
Abstract only
Keywords
Sentiment analysis, Sexual harassment, Harassment, Sexual Harassment of Women at Workplace : India)
Citation
Sardeng, S. K. A., & Palaoag, T. D.(2026). Designing a workplace harassment reporting platform framework using sentiment analysis. 8th International Conference on Natural Language Processing (ICNLP), Xi'an, China, 2026, pp. 140-143, doi: 10.1109/ICNLP69856.2026.11527834.