Sentiment analysis for malay newspaper (SAMNews) using negative selection algorithm / Nur Amalina Redzuan
Newspapers express sentiments during reporting on recent events every day. It also can be known as a new domain in textual type for sentiment analysis that deals with many suggestions. The newspaper is documented in long sentences but the contents that express the sentiment is compressed and clearly...
Saved in:
主要作者: | Redzuan, Nur Amalina |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2013
|
主題: | |
在線閱讀: | https://ir.uitm.edu.my/id/eprint/35332/1/35332.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Sentiment classification for malay newspaper using clonal selection algorithm / Nur Fitri Nabila Mohamad Nasir
由: Mohamad Nasir, Nur Fitri Nabila
出版: (2013) -
Depression prediction system from Twitter’s tweet by using sentiment analysis / Nur Amalina Kamaruddin
由: Kamaruddin, Nur Amalina
出版: (2020) -
Enhancing latent semantic analysis (LSA) using tagging algorithm in retrieving Malay documents / Afiqah Bazlla Md Soom
由: Md Soom, Afiqah Bazlla
出版: (2018) -
Sentiment analysis on Covid-19 vaccine / Nur Qamarina Hamsa
由: Hamsa, Nur Qamarina
出版: (2021) -
Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
由: Abbas, Iraq Tareq
出版: (2018)