Textwise Technology has developed a semantic modeling tool called Semantic Gist®, which adapts to changing content and enhances accuracy in classifying vertical text documents. This patent-pending approach utilizes machine learning and neural networks to create compact representations of text, encoding significant features into a low-dimensional format. The software also identifies underrepresented keywords to improve document indexing and matching applications.

1. TextWise Technology | TextWise Company, LLC
Home
Services
Solutions
Blog
Using Our API
API Login
About Us
ABOUT US
TextWise Technology
Technology
Semantic Gist®
Whitepaper
In the Media
TextWise has recently developed Semantic Gist® to provide intuitive semantic modeling on a large
number of samples, particularly vertical text documents that often do not have classification
schemes associated with them. These semantic models will automatically adapt to rapidly changing
content, ensuring a high level of accuracy over time.
Semantic Gist® represents a significant advance in the use of machine learning, image and speech
characterization, and neural networks to attack unsupervised semantic modeling. Our patentpending approach generates a compact representation of any text by using advanced statistical
language models to identify the significant features of a document.
An auto-encoder neural network encodes the features into a low-dimensionality semantic
representation, and then reconstructs an approximation of the original feature vector from the
semantic representation. The software highlights keywords that may be underrepresented by the
semantic representation and encodes these separately as a complementary feature vector.
Finally, the complementary feature vector is combined with the semantic representation to produce
a Semantic Gist® that can be easily used for document indexing, matching and other applications.
Copyright © 2014 TextWise Company, LLC
http://textwise.com/technology[1/10/2014 5:34:07 PM]
Site Map
Terms & Conditions
Privacy Policy
Facebook
Twitter
History
IP Portfolio
Profile
Contact Us