A leading online travel agency worked with iMerit to manage reviews classification, requiring categorizing and scrutinizing customer reviews and feedback.
“iMerit team efficiently handled the intricate task of reviews classification, and I appreciate their commitment to precision and quality.”
– Director of Technology
Problem
Managing datasets with over 200 unique labels for customer reviews, 10+ for partner hub comments, and 40+ for travel community posts was very complex. With a two-month deadline for efficient data management, the client was looking for expertise and experience in the domain.
Solution
By integrating the expertise of iMerit Subject Matter Experts (SMEs) and Natural Language Processing (NLP) consultants, our team successfully grouped the diverse labels into 38 distinct categories, strategically designed for efficiency and alignment with client requirements.
Results
iMerit significantly expedited data processing, meeting the client’s objectives for scalable and sustainable data operations. The labeling process showed an impressive average team accuracy, ensuring that datasets were contextually relevant. With improved accuracy, the client could rely on the data for actionable insights.
BOTTOM LINE IMPACT
98.5%
Annotation Accuracy
250+
Labels Simplified
38+
Categories Defined
