Authors:
Changxuan Wan
;
Tengjiao Jiang
;
Dexi Liu
and
Guoqiong Liao
Affiliation:
Jiangxi University of Finance and Economics, China
Keyword(s):
Web Financial Reviews, Web Financial Indexes, Opinion Targets, Sentiment Words, Sentiment Analysis.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Context Discovery
;
Information Extraction
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Mining Text and Semi-Structured Data
;
Soft Computing
;
Symbolic Systems
;
Web Mining
Abstract:
Web financial reviews are real-time, comprehensive and authentic. The construction and quantification of
Web financial indexes based on Web financial reviews is of great significance for the financial early
warning for enterprises. Comparing with product reviews and news commentaries, in Web financial reviews,
the opinion targets have more diverse compositions, the frequencies of opinion targets’ occurrence vary
greatly, and the sentiment words’ have more diverse parts of speech. These characteristics make the
extraction of opinion targets, the construction of Web financial indexes, and opinion targets-based
sentimental analysis all more complicated, posing new challenges to natural language processing.