Summarization algorithms performance for topic clustered twitter microblogs
This paper discusses an approach that would allow for the condensation of a bodyof Twitter microblogs into a wieldy size by extracting the topics being discussed in acorpus of tweets using Latent Dirichlet Allocation (LDA). The approach presents theoutput into a human readable summary using the Phra...
Saved in:
主要作者: | SANTOS, JOHN SIXTO G. |
---|---|
格式: | text |
出版: |
Archīum Ateneo
2018
|
主題: | |
在線閱讀: | https://archium.ateneo.edu/theses-dissertations/58 http://rizalls.lib.admu.edu.ph/#section=resource&resourceid=1564945654&currentIndex=0&view=fullDetailsDetailsTab |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Summarization algorithms performance for topic clustered twitter microblogs
由: SANTOS, JOHN SIXTO G.
出版: (2018) -
A bilingual chatbot using support vector classifier on an automatic corpus Engine dataset
由: Catapang, Jasper Kyle, et al.
出版: (2020) -
Creating the Thai National Corpus
由: Wirote Aroonmanakun
出版: (2009) -
Building language resources for a multi-engine English-Filipino machine translation system
由: Roxas, Rachel Edita O., et al.
出版: (2008) -
Natural language generator for SUMO
由: Ureta, Danielle Erika Y.
出版: (2012)