Natural Language Processing on Social Data

Oxtractor is an artificial intelligence platform that extracts actionable insights from social data applying natural language processing. Our state-of-the-art machine learning approach provides teams access to top quality content.

Unlock Deep Semantics

Deep text understanding is a key problem with the increasing amount of produced textual social data. Extracting such a structure of principal entity, related entities and aspects automatically has previously been deemed too challenging.

The extraction of aspects - target entities, their aspects and values - from social data streaming through digital channels is crucial for a better semantic representation. There is no NLP-based AI approach that automatically determines the aspects to extract and is capable of recognizing hierarchical aspect structures.

Deeper understanding improves predictive capabilities and ultimately provides more effective engagement with the end users.

Deep Learning for NLP

Given a set of product reviews or descriptions, word embeddings trained with the traditional deep learning models do not explicitly capture the domain relatedness of a token in a review just as they do not capture the sentiment information of the tokens in the reviews explicitly. However, for particular NLP tasks such as sentiment classification or aspect term extraction, it might be crucial to capture more than the syntactic contexts of the words.

For the tasks of aspect term extraction or opinion target extraction, predicting the domain-relatedness distribution of text based on input ngram is the primary solution to integrating domain information into word embeddings.

Real-time Analytics

We apply logic and mathematics to data to provide insights for making better decisions quickly. For some use cases, real time simply means the analytics is completed within a few seconds or minutes after the arrival of new data.

Focus Areas & Use Cases

Try Oxtractor

Contact us today to discuss the information extraction needs of your business.