公开(公告)号：MY167959A

公开(公告)日：2018-10-08

申请号：MYPI2013701910

申请日：2013-10-10

Applicant: MIMOS BERHAD

Inventor： KOW WENG ONN ,  ARUN ANAND SADANANDAN ,  BENJAMIN CHU MIN XIAN ,  DICKSON LUKOSE ,  DANIEL BAHLS

IPC: G06F17/27

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:

公开(公告)号：MY185354A

公开(公告)日：2021-05-09

申请号：MYPI2013004281

申请日：2013-11-27

Applicant: MIMOS BERHAD

Inventor： BENJAMIN CHU MIN XIAN ,  DANIEL BAHLS ,  DICKSON LUKOSE

Abstract: The present invention provides a system for extracting concept and named-entities from a text-containing document. An entity recognition engine (102) is provided to process an entity with a Rule-based Named-Entity Recognition (NER) (122), a Natural-Language-Processing (NLP) based NER (124), and a knowledge-based NER (126). The NERs are further scored and weighted, wherein the highest weighted score will be taken. A method thereof is also provided. (Figure 1)