Description:

> This extensive dataset, comprised of over 250,000 customer reviews, offers a detailed exploration of customer experiences on TeePublic, an online platform renowned for its diverse collection of fashion items. The dataset spans crucial information, including reviewer_id, store_location, latitude, longitude, date, month, year, title, review, and the review-label indicating a rating on a scale of 1 to 5.

Key Features:

> - reviewer_id: A unique identifier for each reviewer, ensuring anonymity and privacy.

• store_location: Geographic information specifying the location of the TeePublic fashion store.
• latitude: The latitude coordinate of the store's location, providing precise geospatial data.
• longitude: The longitude coordinate of the store's location, offering detailed geographic insights.
• date: The specific date when the review was posted, enabling temporal analysis.
• month: The month in which the review was posted, facilitating monthly trends exploration.
• year: The year of the review, allowing for yearly analysis and trend identification.
• title: The title associated with each review, capturing succinct sentiments or key points.
• review: The textual content of the review, presenting detailed feedback from customers.
• review-label: The reviewer's rating on a scale from 1 to 5, providing a quantitative measure of satisfaction.

TeePublic and Fashion Store Context:

> TeePublic is a prominent online platform celebrated for its extensive collection of fashion items, including apparel, accessories, and more. This dataset, comprising reviews from the fashion store, serves as a valuable resource to understand customer sentiments and preferences within the dynamic landscape of online fashion retail.

Potential Use Cases:

> - Sentiment analysis: Dive deep into the reviews to understand the sentiment expressed by customers, aiding in gauging overall satisfaction levels and pinpointing areas for improvement.

• Geospatial analysis: Explore geographic patterns to identify high-performing or underperforming store locations, allowing for targeted business strategies.
• Temporal analysis: Investigate temporal trends to discern any shifts in customer opinions or preferences over time, aiding in adapting to changing market dynamics.
• Review categorization: Analyze review titles and content to categorize feedback, uncovering patterns that contribute to overall ratings and customer satisfaction.

Data Source:

The dataset was meticulously curated from TeePublic fashion store customer reviews. All personally identifiable information (PII) has been carefully anonymized to uphold user privacy and adhere to ethical guidelines.

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