Invention Grant
- Patent Title: Sentiment analysis for aspect terms extracted from documents having unstructured text data
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Application No.: US17500042Application Date: 2021-10-13
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Publication No.: US11675823B2Publication Date: 2023-06-13
- Inventor: Ramakanth Kanagovi , Sumant Sahoo , Arun Swamy , Ravi Shukla , Prakash Sridharan , Shrikrishna K. Joisa , Sandeep Ratnakar , Mayank Sharma
- Applicant: Dell Products L.P.
- Applicant Address: US TX Round Rock
- Assignee: Dell Products L.P.
- Current Assignee: Dell Products L.P.
- Current Assignee Address: US TX Round Rock
- Agency: Ryan, Mason & Lewis, LLP
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/35 ; G06N20/20 ; G06F16/33

Abstract:
An apparatus comprises at least one processing device configured to receive a query to perform sentiment analysis for a document, to generate, utilizing a first machine learning model, a first set of encodings classifying words of the document as being aspect or non-aspect terms, to generate, utilizing a second machine learning model, a second set of encodings classifying sentiment of the words of the document, and to determine, for a given aspect term, attention weights for a given subset of the words of the document surrounding the given aspect term. The processing device is also configured to generate, utilizing a third machine learning model, a given sentiment classification of the given aspect term based on the attention weights and a given portion of the second set of encodings for the given subset of the words, and to provide a response to the query comprising the given sentiment classification.
Public/Granted literature
- US20230112589A1 SENTIMENT ANALYSIS FOR ASPECT TERMS EXTRACTED FROM DOCUMENTS HAVING UNSTRUCTURED TEXT DATA Public/Granted day:2023-04-13
Information query