Towards a Fuzzy Cognitive Map for Opinion Mining

Aguilar, José; Terán, Oswaldo; Sánchez, Hebert; Mesa, José Gutierrez de; Cordero, Jorge; Chávez, Danilo

doi:10.1016/j.procs.2017.05.287

Cited by 12 publications

(1 citation statement)

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“…The classical approaches classify the source of information, identify the main information (twitter, website, etc. ), which is used to infer information [12,13,14,15,16,17]. We extend it with the knowledge graph, which has a great potential in different contexts, for example, for the analysis of textual citizens' contributions, the general attitudes-sentiments (positive, negative or neutral) of the public in the discussion, among other things.…”

Section: Discussionmentioning

confidence: 99%

Opinion mining using a knowledge extraction system from the web

Rodriguez¹,

Aguilar²,

González³

2017

ces

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This paper designs and implements an opinion mining system based on the knowledge extraction from unstructured documents in HTML format. Basically, the system recovers information from the Internet about a subject, and transforms it in a structured and organized knowledge, described semantically in an ontology, using a Semantic Ontology. Therefore, the Semantic Ontology describes the opinion about this subject previously defined. This ontology is a semantic knowledge based on the extraction of entities and relationships, where entities are something about we can say something, and the relationships are the interactions between the entities. From this model of semantic knowledge, it is possible to infer the public opinion, and new knowledge, such as the terminological base around of the opinion.

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