NATURAL LANGUAGE PROCESSING FOR CORPORATE MANAGEMENT SYSTEMS
DOI:
https://doi.org/10.63330/armv1n10-004Keywords:
Natural Language Processing, Demand Management, Automatic Summarization, Automatic Categorization, Process OptimizationAbstract
The management of requests within corporations is often hindered by a lack of objectivity in the description of demands, resulting in productivity losses. This study aims to explore opportunities in Natural Language Processing (NLP) at its intersection with this issue. Following a bibliographic review of NLP techniques and management tools, a system architecture is proposed, designed for integration and intended to categorize requests and summarize their objectives. As an expected outcome, the research seeks to shed light on the challenges of corporate communication through artificial intelligence, with a particular focus on demonstrating its high potential to mitigate noise in natural communication, accelerate task triage, and improve resource allocation within organizations.
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