@unicornnlp.com
Semantic Analysis for Reviews/UGC - Language Understanding APIs designed for healthcare, travel, restaurant, food delivery, nps, surveys, hotel reviews, hostel reviews, apartment reviews, restaurant reviews, attraction reviews, airline reviews, NLP/NLU for travel reviews, Custom Language Understanding API
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Description
Unicorn NLP is a cutting-edge brand that specializes in Semantic Analysis for Reviews and User-Generated Content (UGC). Their Language Understanding APIs are designed for a wide range of industries, including healthcare, travel, restaurants, food delivery, NPS (Net Promoter Score) surveys, hotel reviews, hostel reviews, apartment reviews, restaurant reviews, attraction reviews, and airline reviews. Unicorn NLP offers a range of products and services to meet the diverse needs of their clients.
Their solutions include Automatic Conversion of Reviews into Recommendations/Tickets/Tips, Human-like (Semantic) classification of reviews, and Human-like (Semantic) comparison of hotels. They also provide Travel Hotel/Accommodation Search personalization, travel chatbots fueled by reviews, and Human-like (Semantic) summaries of reviews. Additionally, Unicorn NLP offers Semantic Distribution and TagCloud analysis, as well as Automatic Cognitive Report Generation from reviews.
Their technology can be applied across multiple domains, providing valuable insights for both business owners and travelers. With Unicorn NLP's advanced Language Understanding APIs, businesses can gain a deeper understanding of customer feedback and make data-driven decisions to improve their products and services. Travelers can also benefit from personalized search and chatbot assistance, ensuring they find the perfect accommodations that meet their specific preferences.
Discover the power of Semantic Analysis with Unicorn NLP and unlock a wealth of valuable insights from reviews and UGC. Contact them today to explore the possibilities or visit their website for more information
Company Type
Self-Employed
Company Size
2-10
Year Founded
2018
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