Amazon Technologies, Inc.

Siddharth Chaitanyakumar Varia

Sunil Mallya Kasaragod

Yahor Pushkin

Rishita Rajal Anubhai

Kasturi Bhattacharjee

Abhinav Goyal

Smaranda Muresan

Srikanth Doss Kadarundalagi Raghura

Federico Torreti

A global segmenting and analysis service of a provider network may receive documents (e.g., posts, product reviews) from different applications. The service may analyze the documents to identify target entities and sentiment. The service may generate different levels of sentiment data and store data into a segmented database. For example, the service may store within-document level sentiment, document-level sentiment, and multi-document level sentiment for a target entity. The service may also update the entity taxonomy automatically or with only a small number of sample documents. The client may query the service for the segmented sentiment data.

Global segmenting and sentiment analysis based on granular opinion detection

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Northville, MI, United States of America

Siddharth Chaitanyakumar Varia