Empowering Sentiment Analysis For Improved Fashion Choices

Abstract

The world of fashion is dynamic, ever-changing, and deeply influenced by individual preferences and collective sentiment. Making confident and informed fashion choices can be a daunting task, especially in an era marked by rapid trends and diverse styles. The fashion industry is ever-evolving, with trends and styles constantly changing. Making informed fashion choices that align with personal preferences and public sentiment can be challenging. "Empowering Sentiment Analysis for improved fashion choices" presents a novel approach to address this challenge. This abstract introduces a comprehensive framework that harnesses the power of sentiment analysis, a sophisticated natural language processing technique, to provide consumers and fashion enthusiasts with invaluable insights into the realm of fashion. Sentiment analysis, commonly used in understanding public opinions and emotional tones in textual data, is adapted here to decode the fashion landscape. By analyzing textual data from fashion reviews, social media posts, and comments, sentiment analysis can discern public sentiment and opinions about specific clothing items, styles, and trends. The primary objective of this initiative is to empower individuals to make better, more informed fashion choices. Through sentiment analysis, individuals can access an in-depth understanding of the prevailing sentiments and opinions surrounding specific clothing items, styles, and trends. This knowledge equips them with the tools to align their choices with current trends, explore niche styles, or even express their uniqueness confidently. By leveraging the power of machine learning models like Logistic Regression, Naïve Bayes, Support Vector Machines, Random Forest , Ada Boosting and Deep Learning algorithms the sentiment classification models are built. Furthermore, this technology fosters inclusivity and diversity in fashion decision-making by highlighting a wide range of sentiments and opinions. It acknowledges that fashion is a highly personal and subjective domain and helps individuals discover styles that resonate with their unique tastes and values.