Exploring Temporal Dynamics of Customer Sentiments: A Comprehensive Analysis of Maybelline Kajal Product Reviews

This research delves into the intricate nuances of customer sentiments expressed in online reviews of a kajal product, employing a multi-faceted approach encompassing sentiment analysis, temporal trends, and regression modelling. The primary objectives are to discern sentiments, analyse their temporal evolution over the years and months, and investigate the influence of time variables on emotions. Leveraging a robust dataset spanning multiple years, the study employs sentiment analysis techniques to categorize emotions, revealing dominant positive sentiments. Temporal trends highlight variations across years and months, unveiling unique emotional dynamics. The multinomial regression model explores the relationship between time variables (year and month) and sentiments, offering nuanced insights into the impact of temporal factors. The research concludes with practical recommendations for businesses to tailor strategies based on prevailing emotional contexts and proposes avenues for future research to delve deeper into the driving forces behind emotional trends.