A Method of Extracting Opinion from Chinese Product Review
2011 ◽
Vol 219-220
◽
pp. 1513-1517
Keyword(s):
Automatic opinion mining and summarization from online reviews are very useful for customers and merchants. This paper proposes a method to extract opinions from Chinese product reviews. Firstly, reviews are pre-processed and the sentiment features are extracted based on a sentiment lexicon. Then, it finds out the matching target attribute using the extracted sentiment features base on the using co-occurrence knowledge of topic feature and sentiment feature. After the opinions were found, it generates the summary for products according to the most common opinions.
2013 ◽
Vol 2
(2)
◽
2017 ◽
Vol 7
(1)
◽
pp. 106-109
2019 ◽
Vol 11
(3)
◽
pp. 81-97
Keyword(s):
2019 ◽
Vol 1
(1)
◽
pp. 2457-2466
Keyword(s):
2022 ◽
Vol 3
(4)
◽
pp. 283-294
2018 ◽
Vol 7
(4.5)
◽
pp. 143