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Natural Language Processing and Generation

Analyze and interpret text, make decisions, and extract information from various forms to texts and documents.

Extract entities and attributes, classify and summarize documents, identify customer sentiments and convert unstructured information to structured forms.

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Sentiment analysis

Extract aspect based sentiments from blocks of texts. Analyze customer feedback, product and service reviews and social media sentiments.

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Question answering

An automated question answering system that feeds off a collection of documents such as Wikipedia, corporate knowledgebases or internal and external-facing documents

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Content generation

Dynamically generate natural language content to populate reports and documents based on data from different sources and ensure quality and compliance of documents.

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Entity & attributes extraction

Extract entities of interest and their associated attributes from text documents. Analyze financial documents, product reviews, customer emails, social media, news clips...

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Document summarization

Summarize and extract information from large documents. Identify key aspects, themes and summary information. Generate summary reports and presentations.

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