Determining sentiment of sentences from customer reviews
US8554701B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 18, 2011 |
| Grant date | Oct 8, 2013 |
| Priority date | — |
| Expiry date | Jan 27, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0601
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Technologies are described herein for classifying sentences or phrases as expressing positive or negative sentiment based on machine learning from training data comprising sentences manually labeled as to sentiment. A list of terms is generated from the manually labeled sentences and sentiment scores are determined for the terms in the list of terms based on the manually labeled sentences. A collection of sentences or phrases may then be classified as to sentiment utilizing one or more logistic regression classifiers trained on the sentiment scores determined for the terms in the list of terms. The classified collection of sentences may be further analyzed to determine an overall majority sentiment regarding a topic discussed in the sentences and/or to extract specific sentences or phrases expressing a particular sentiment for display to a customer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.