https://github.com/rrwen/assign-kd-sls
Assignment titled "Experiments on Natural Language Processing and Prediction of Sentiment Labelled Sentences" for Knowledge Discovery course at Ryerson University
https://github.com/rrwen/assign-kd-sls
assignment course discovery knowledge label language learning machine natural predict process sentence sentiment
Last synced: about 1 year ago
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Assignment titled "Experiments on Natural Language Processing and Prediction of Sentiment Labelled Sentences" for Knowledge Discovery course at Ryerson University
- Host: GitHub
- URL: https://github.com/rrwen/assign-kd-sls
- Owner: rrwen
- License: mit
- Created: 2017-04-13T03:31:59.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2017-04-26T05:56:36.000Z (about 9 years ago)
- Last Synced: 2025-02-08T21:11:20.308Z (over 1 year ago)
- Topics: assignment, course, discovery, knowledge, label, language, learning, machine, natural, predict, process, sentence, sentiment
- Language: JavaScript
- Homepage: https://rrwen.github.io/assign-kd-sls
- Size: 2.55 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Experiments on Natural Language Processing and Prediction of Sentiment Labelled Sentences
Richard Wen
rwen@ryerson.ca
April 13, 2017
Assignment for Knowledge Discovery Course
Instructed by Dr. Cherie Ding
- [HTML](https://rrwen.github.io/assign-kd-sls)
- [PDF](https://github.com/rrwen/assign-kd-sls/blob/master/index.pdf)
## References
- Kotzias, Dimitrios, Misha Denil, De Freitas Nando, and Padhraic Smyth. 2015. “From Group to
Individual Labels Using Deep Features.” Proceedings of the 21th ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery,
597–606. doi:10.1145/2783258.2783380.
- Lichman, Moshe. 2013. “(UCI) Machine Learning Repository.” http://archive.ics.uci.edu/ml.
## Developer Notes
To render Portable Document File (PDF) and HTML:
1. Install [R](https://cran.r-project.org/) and [RStudio](https://www.rstudio.com/products/rstudio/download/) if not installed
2. Open **index.rmd** with Rstudio
3. In the R console, enter `install.packages("bookdown")`
4. Click *Knit*-> *Knit to gitbook* (HTML)
5. Click *Knit*-> *Knit to pdf_document2* (PDF)
Push to git:
1. Install [git](https://git-scm.com/) if not installed
2. Run the following commands to commit to remote repository
```
git add .
git commit -a -m "Generic update"
git push
```
Some known issues:
- Error when using `rmarkdown::render` function for PDF
- Error when using knit in Rstudio, but correct PDF is generated