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https://github.com/allisonhorst/esm244-w2020-lab8
Text mining, sentiment analysis, and visualization
https://github.com/allisonhorst/esm244-w2020-lab8
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Text mining, sentiment analysis, and visualization
- Host: GitHub
- URL: https://github.com/allisonhorst/esm244-w2020-lab8
- Owner: allisonhorst
- Created: 2020-02-23T23:17:39.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-03-02T04:14:26.000Z (over 4 years ago)
- Last Synced: 2024-05-02T12:02:38.145Z (6 months ago)
- Language: HTML
- Size: 6.24 MB
- Stars: 5
- Watchers: 5
- Forks: 47
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# ESM 244 (Winter 2020) - Lab Week 8
### Text mining, sentiment analysis, and visualization
### Resources:
- Julia Silge and David Robinson's [Text Mining with R](https://www.tidytextmining.com/)
### Packages you'll need:
**For text mining & analysis stuff**:
- `tidyverse`
- `here`
- `pdftools`
- `textdata`
- `tidytext`
- `ggwordcloud`
**Note - before lab for sentiment analysis you will need to:**
- Attach `tidytext` and `textdata` packages
- In the console, Run: `get_sentiments(lexicon = "nrc")`
- You should be prompted to install lexicon - choose yes!
- Once that's done, in the console run `get_sentiments(lexicon = "afinn")`
- You should be prompted to install lexicon - choose yes!
**For point pattern analysis example:**
- `sf`
- `rgdal`
- `spatstat`
- `sp`
- `maptools` version 0.9-5 (we think this was the issue with point pattern analysis we saw last week).
To get `maptools` v0.9-5, run the following:
```
detach("package:maptools",unload=TRUE)
library(devtools)
install_version("maptools", version="0.9-5")
```
### Data:
- IPCC (International Panel on Climate Change) Special Report: Global Warming of 1.5 degrees.
- Sage grouse telemetry, Mono County:
- Data summary: CA DFG sage grouse telemetry (Mono County)
- Files: ds68 layer
- Contact: William Perry, US Geological Survey (USGS)
- Link: https://map.dfg.ca.gov/metadata/ds0068.html