|
Title:
|
AN OPINION MINING MODEL BASED ON USER PREFERENCES |
|
Author(s):
|
Manuela Angioni, Andrea Devola, Mario Locci and Franco Tuveri |
|
ISBN:
|
978-989-8533-94-4 |
|
Editors:
|
Pedro Isaías |
|
Year:
|
2019 |
|
Edition:
|
Single |
|
Keywords:
|
Opinion Mining, Opinion Summarization, NLP, Semantic Categorization |
|
Type:
|
Poster |
|
First Page:
|
183 |
|
Last Page:
|
185 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
This paper proposes an Opinion Mining model, parameterized according to the reviewer profile. The work aims to highlight
and resolve some issues resulting from previous activities in evaluating the goodness of the results obtained by the analysis
of the reviews. A user profiling system provides the set of parameters to associate with the aspects and allows, working
with the Opinion Mining system, to configure itself according to the user preferences. |
|
|
|
|
|
|
