MY167959A - System and method for semantic-level sentiment analysis of text - Google Patents

System and method for semantic-level sentiment analysis of text

Info

Publication number
MY167959A
MY167959A MYPI2013701910A MYPI2013701910A MY167959A MY 167959 A MY167959 A MY 167959A MY PI2013701910 A MYPI2013701910 A MY PI2013701910A MY PI2013701910 A MYPI2013701910 A MY PI2013701910A MY 167959 A MY167959 A MY 167959A
Authority
MY
Malaysia
Prior art keywords
sentiment
text
semantic
component
sentiment analysis
Prior art date
Application number
MYPI2013701910A
Inventor
Weng Onn Kow
Anand Sadanandan Arun
Chu Min Xian Benjamin
Lukose Dickson
Bahls Daniel
Original Assignee
Mimos Berhad
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mimos Berhad filed Critical Mimos Berhad
Priority to MYPI2013701910A priority Critical patent/MY167959A/en
Priority to PCT/MY2014/000182 priority patent/WO2015053607A1/en
Publication of MY167959A publication Critical patent/MY167959A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis

Abstract

The present invention relates to a system and method for semantic level sentiment analysis. The system (100) comprises of a graph generator component (10), a semantic sentiment analyser component (20), a sentiment processor component (30), a sentiment dictionary (40), a sentiment taxonomy (50), a semantic sentiment patterns repository (60) and a propagation rules repository (70). The system (100) accepts text data as input and analyses sentiment in the text. The method enables semantically valid sentiment in terms of the entire text as well as the individual entities in the text. The most illustrative drawing:
MYPI2013701910A 2013-10-10 2013-10-10 System and method for semantic-level sentiment analysis of text MY167959A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
MYPI2013701910A MY167959A (en) 2013-10-10 2013-10-10 System and method for semantic-level sentiment analysis of text
PCT/MY2014/000182 WO2015053607A1 (en) 2013-10-10 2014-06-12 System and method for semantic-level sentiment analysis of text

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
MYPI2013701910A MY167959A (en) 2013-10-10 2013-10-10 System and method for semantic-level sentiment analysis of text

Publications (1)

Publication Number Publication Date
MY167959A true MY167959A (en) 2018-10-08

Family

ID=51690422

Family Applications (1)

Application Number Title Priority Date Filing Date
MYPI2013701910A MY167959A (en) 2013-10-10 2013-10-10 System and method for semantic-level sentiment analysis of text

Country Status (2)

Country Link
MY (1) MY167959A (en)
WO (1) WO2015053607A1 (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160162582A1 (en) * 2014-12-09 2016-06-09 Moodwire, Inc. Method and system for conducting an opinion search engine and a display thereof
CN108780660B (en) * 2016-02-29 2023-10-20 皇家飞利浦有限公司 Apparatus, system, and method for classifying cognitive bias in a microblog relative to healthcare-centric evidence
US9875230B2 (en) 2016-04-08 2018-01-23 International Business Machines Corporation Text analysis on unstructured text to identify a high level of intensity of negative thoughts or beliefs
CN109376239B (en) * 2018-09-29 2021-07-30 山西大学 Specific emotion dictionary generation method for Chinese microblog emotion classification

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8356025B2 (en) 2009-12-09 2013-01-15 International Business Machines Corporation Systems and methods for detecting sentiment-based topics

Also Published As

Publication number Publication date
WO2015053607A1 (en) 2015-04-16

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