Blog
Megagon Team Profile: Nikita Bhutani, Research Scientist
Welcome to our second team profile blog post! In this article, we highlight Nikita Bhutani,
ExtremeReader: An Interactive Explorer for Customizable and Explainable Review Summarization
Fig 1: User interaction with ExtremeReader. With the rise of e-commerce, user reviews now play
Making Review Analysis Easier with Teddy
User interaction with Teddy. Reviews hold a wealth of data that can help improve user
Megagon Team Profile: Sara Evensen
We are excited to start a series of blogs to profile our researchers and engineers
Snippext: Better Opinion Mining With Less Training Data
Understanding public sentiment can unlock unprecedented insights for every business. Consequently, opinion mining, the process
Happiness Entailment: Generating Sustainable Suggestions for Better Well-Being
What makes you happy? This question is a central topic in positive psychology — particularly,
Semantic Type Detection: Why It Matters, Current Approaches, and How to Improve It
Semantic type detection aims to identify the real-world references of data sources such as table
ConciergeBot Case Study: Building an Industrial-Strength Q&A Chatbot for Hotels
Unless you’ve been living under a rock for the past 10 years, chances are you’ve
Unlocking Real Value from User Reviews With Subjective Data and Experiential Search — Part 2
Welcome back to our series on how subjective data and experiential search can unlock more
Unlocking Real Value from User Reviews With Subjective Data and Experiential Search — Part 1
User reviews now run the world’s business. Whether you’re selling a product, hiring employees, or
Emu: Enhancing Multilingual Sentence Embeddings with Semantic Similarity
Language is perhaps humanity’s greatest invention. It allows us to communicate information, convey ideas, and