公开(公告)号：US20180357684A1

公开(公告)日：2018-12-13

申请号：US16104088

申请日：2018-08-16

Applicant: Hefei University of Technology

Inventor： Qiang ZHANG ,  Shanlin YANG ,  Anning WANG ,  Zhanglin PENG ,  Xin Ni ,  Minglun REN ,  Xiaonong LU

IPC: G06Q30/02 ,  G06F17/27

CPC classification number: G06Q30/0282 ,  G06F17/2785

Abstract: The present invention relates to a method for identifying a preferred region for a product and an apparatus and a storage medium thereof. The method is executed by computer. The method includes: obtaining comment texts of users in different regions for a to-be-analyzed product, and extracting product features of the to-be-analyzed product from the comment texts; determining sentiment polarities of the users for the product features in the comment texts; calculating associations between sentiment orientations of the product features and the regions; extracting product features with regional preferences from the product features; and determining, for each product feature with a regional preference, a preferred region for the product feature in view of the sentiment polarities. The present invention can provide preferred regions for on-line product comments, enable enterprises to formulate more specific marketing strategies, and drive enterprises to implement regional product marketing strategies.

公开(公告)号：US20180197192A1

公开(公告)日：2018-07-12

申请号：US15866439

申请日：2018-01-09

Applicant: Hefei University of Technology

Inventor： Qiang ZHANG ,  Shanlin YANG ,  Anning WANG ,  Zhanglin PENG ,  Xin Ni ,  Minglun REN ,  Xiaonong LU

IPC: G06Q30/02

CPC classification number: G06Q30/0205 ,  G06Q30/0201 ,  G06Q30/0203

Abstract: The present invention relates to a method and an apparatus for identifying a preferential region for a product. The method includes: obtaining comment texts of users in different regions for a to-be-analyzed product, and extracting product features of the to-be-analyzed product from the obtained comment texts; determining sentiment polarities of the users for the product features in the comment texts; calculating associations between sentiment orientations of the product features and the regions; extracting product features with regional preferences from the product features; and determining, for each extracted product feature with a regional preference, a preferential region for the product feature in view of the sentiment polarities. For content of fragmental and random online comments on the product, the present invention can provide a preferential region, enable an enterprise to formulate a more specific marketing strategy, and drive the enterprise to implement the regional product marketing strategy.