Luminoso Introduces Deep Learning Model for Evaluating Sentiment at the Concept Level

Company's state-of-the-art architecture identifies unique concepts within text-based communications, and analyzes the sentiment of each concept Luminoso, the company that automatically turns unstructured text data into business-critical insights, unveiled its new deep learning model for analyzing sentiment of multiple concepts within the same text-based document. "While sentiment analysis has been prevalent for well over a decade, the most common form of sentiment analysis today involves evaluating whether a document's sentiment is overall more positive than negative," said Adam Carte, CEO of Luminoso. "This type of analysis is overly-simplistic, as it fails to address nuanced comments such as customers explaining what they like and dislike about a product, or employee feedback about a company's strengths and weaknesses. With Concept-Level Sentiment in Luminoso Daylight, businesses across industries will be able to upload any text-based document, and quickly receive a nuanced analysis of the author's sentiment regarding the topics they wrote about." Luminoso's new deep learning model understands documents using multiple layers of attention, a mechanism that identifies which words are relevant to get context around a specific concept as expressed by a word or phrase.