- Patent Title: Unsupervised aspect extraction from raw data using word embeddings
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Application No.: US15478363Application Date: 2017-04-04
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Publication No.: US10223354B2Publication Date: 2019-03-05
- Inventor: Ruidan He , Daniel Dahlmeier
- Applicant: SAP SE
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Agency: Fish & Richardson P.C.
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06F17/27

Abstract:
Methods, systems, and computer-readable storage media for receiving a vocabulary that includes text data that is provided as at least a portion of raw data, the raw data being provided in a computer-readable file, providing word embeddings based on the vocabulary, the word embeddings including word vectors for words included in the vocabulary, clustering word embeddings to provide a plurality of clusters, each cluster representing an aspect inferred from the vocabulary, determining a respective association score between each word in the vocabulary and a respective aspect, and providing a word ranking for each aspect based on the respective association scores.
Public/Granted literature
- US20180285344A1 UNSUPERVISED ASPECT EXTRACTION FROM RAW DATA USING WORD EMBEDDINGS Public/Granted day:2018-10-04
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