Text Mining Techniques for Identify Islamophobic Conversation Language by Selecting Preprocessing Feature
Keyword(s):
Abstract By identifying a text's polarity, sentiment analysis is a technique for extracting information from a person's attitude about an issue or occurrence. The grouping is made to discuss whether the reader is positive or negative. The drop duplication procedure creates 4339 from the preceding 10997, and the result language detection is 31 languages, thanks to the pre-processing stage. Although the data comes from the world's largest Muslim country, the problem is not limited to it, as evidenced by the use of text mining tools to identify languages.
2018 ◽
Vol 15
(6)
◽
pp. 58-65
2017 ◽
Vol 13
(3)
◽
pp. 47-67
◽
2019 ◽
Vol 8
(4)
◽
pp. 10289-10293
2022 ◽
Vol ahead-of-print
(ahead-of-print)
◽