React + D3: A Starter’s Guide
At Megagon Labs, I create demos to clearly showcase the hard work of our natural language processing/machine learning researchers and engineers. In all my demos, I relied heavily on React. Its declarative approach, state management, and control over the DOM made sense to me. Particularly for data-intensive machine learning (ML) applications, React efficiently updates state […]
Megagon Labs Team Profile: Yuliang Li, Senior Research Scientist
Welcome to our team profile blog post! In this article, we highlight Yuliang Li, a Senior Research Scientist at Megagon Labs. We’ll discuss the aspects of the lab Yuliang appreciates, how he arrived to Megagon Labs and words of wisdom to research scientists. Tell us where your journey to NLP and database research began and […]
Extracting Salient Facts from Online Reviews with Scarce Labels
Online reviews have become an essential source of information, so much so that more than 90% of people read online reviews about local businesses [1]. Job seekers also rely on reviews before applying to open positions in order to find the best prospective employers. With previous projects like Coop and Extreme Reader, Megagon Labs has […]
An Example of Sentiment Polarity Analysis and Recognizing Textual Entailment Utilizing Texts in Japanese Hotel Reviews Posted on Jalan Net
In order to create a better customer experience, we need to know what makes a service or product attractive to customers. Megagon Labs Tokyo has developed the Japanese Realistic Textual Entailment Corpus (JRTE Corpus), which is a corpus of text based reviews of hotels, and other lodging facilities, published on the travel information website Jalan […]
