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 7):
The method according to  claim 1 , wherein the step of determining a preferential region for the product feature in view of the sentiment polarity comprises:\n calculating the difference between the calculated value and the expected value of the quantity of comment texts comprising the product feature with the sentiment polarity in each region; and using a region with a greatest difference among the regions as the 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): 0.102765140275679
- 35 USC 102 Novelty (BERT): 0.4960821485584372
- Combined Prediction Score: 0.1420968411039548
- Mean Citation Score: 173.15288800000005
- Max Citation Score: 188.21797
- Similarity Product: 113.5442904149008

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