NICE Systems

Overview

DESCRIPTION

Researching in the field of Text Analytics by leveraging machine learning, deep learning & advanced NLP techniques on textual communication and speech-to-text data. For example: Multi-modal topic based segmentation – partition an interaction based on topics changes using textual & acoustic features; Mixed-Channel document by example – using a single interaction as an example, extract similar interactions from various communication channels; Mixed-channel clustering – explore various dimension reduction techniques to enable clustering of interactions from various communication channels; Cross-Lingual sentiment analysis – leverage sentiment knowledge in a rich-resource (source) language to enhance sentiment analysis in the low-resource (target) language using transfer learning techniques; and Cross-Lingual word embedding

AI EMPLOYEES
22
AI TYPES
Deep Learning Machine Learning Natural Language Processing Speech Recognition
AI TOOLS
Keras Spacy TensorFlow
CODING
C Java Python

Israeli AI Startup Acquisitions

STATUS
Acquired
FUNDING
$27 M