Abstract: In today's digital era, emotional expression has found new mediums, with text-based communication via social media and messaging apps becoming increasingly dominant. As individuals frequently share their thoughts, experiences, and opinions online, there is a growing need to analyze and interpret the emotional context embedded in textual content. However, the massive influx of unstructured data poses challenges in distinguishing meaningful emotional cues from irrelevant information. This calls for efficient systems that can process such data in real time while identifying linguistic biases. Emotional and sentiment analysis plays a pivotal role in understanding the writer's stance—whether positive, negative, or neutral—towards a topic, service, or individual. Despite advancements, accurately assessing the psychological or emotional state of users remains complex and necessitates emotionally intelligent systems.

Keywords: Unstructured data, real-time processing, linguistic bias, emotional evaluation, text analysis.

| DOI: 10.17148/IARJSET.2025.12449