PATENT CLAIM ANALYSIS

Application Number: 15866439
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["705", "007340"]

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.

Claim (Index 1):
A method for identifying a preferential region for a product, comprising:\n 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, wherein the regions are tiers of cities to which the users belong or are regions to which the users belong; determining, according to an opinion word about each product feature in each comment text, a sentiment polarity of a user for the product feature in the comment text; calculating, according to the sentiment polarity of each product feature in each comment text comprising the product feature and a region to which the user of the comment text comprising the product feature belongs, an association between a sentiment orientation of the product feature and the region; extracting product features with regional preferences from the product features according to associations between sentiment orientations of the product features and the regions; and determining, for each extracted product feature with a regional preference according to a difference between a calculated value and an expected value of a quantity of comment texts comprising the product feature and with a same sentiment polarity for the product feature in each region, a preferential region for the product feature in view of the sentiment polarity.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.38806
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14280088', '13232031', '13732880', '14339213', '15079883']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1033597072291235
- 35 USC 102 Novelty (BERT): 0.4897949317011223
- Combined Prediction Score: 0.1420032296763234
- Mean Citation Score: 173.15288800000005
- Max Citation Score: 188.21797
- Similarity Product: 121.83804769248128

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test