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The Fashion industry is constantly evolving and innovating, creating new trends and styles that influence where garments are custom-made for individual clients with exquisite craftsmanship and materials. The Haute Couture Fashion Week held in Paris is one of the most influential fashion events where designers use their creativity and skill to create unique and exquisite garments that convey their artistic vision and identity; therefore analyzing this event’s designs, people’s reception of them and the media surrounding it, can provide valuable information for fashion brands. In this paper, we proposed a text mining model to analyze the opinions of Twitter users on this subject. Our database consists of 4290 tweets and after the cleansing and text pre-processing stage, a clustering technique was applied to the database and then several association rules were extracted from each of the clusters. The output of the proposed model concluded popular patterns and co-occurrences among the identified clothing attributes and the sentiment behind them, proving that Twitter is a reliable source for receiving direct feedback and receptions from social media users and the model can be used as an initial model for predictive decision making.