Amazon Technologies, Inc.

Columbia University

Smaranda Muresan

Sunil Mallya Kasaragod

Yahor Pushkin

Rishita Rajal Anubhai

Judith L Klavans

Kasturi Bhattacharjee

Abhinav Goyal

Srikanth Doss Kadarundalagi Raghura

Federico Torreti

Siddharth Chaitanyakumar Varia

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

A system for automatically generating a dictionary from full text articles extracts &#x3c;term, definition&#x3e; pairs from full text articles and stores the &#x3c;term, definition&#x3e; pairs as dictionary entries. The system includes a computer readable corpus having a plurality of documents therein. A pattern processing module () and a grammar processing module () are provided for extracting &#x3c;term, definition&#x3e; pairs from the corpus and storing the &#x3c;term, definition&#x3e; pairs in a dictionary database (). A routing processing module selectively routes sentences in the corpus to at least one of the pattern processing module or grammar processing module. In one embodiment, the routing module is incorporated into the pattern processing module which then selectively routes a portion of the sentences to the grammar processing module. A bootstrapping processing module () can be used to apply &#x3c;term, definition&#x3e; entries against the corpus to identify and extract additional &#x3c;terms, definition&#x3e; entries.

System and method of generating dictionary entries

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New York, NY, United States of America

Smaranda Muresan