Pace University Key Words Analysis using Tweets Using R package TwitteR Worksheet This project is to get tweets from twitter Apps and do analysis. Students can use it as a starting point to further their investigation.Students need to follow the instruction below to complete
the work. Please attach screenshot to show the work. These screenshot should be
similar to what presented here. But it uses your key/token and different search
results using their search key word. The instructions are also posted in the
course slides. Assignment: Key Words Analysis using Tweets Using R package TwitteR
This project is to get tweets from twitter Apps and do analysis. Students can use it as a starting point to
further their investigation.
Step1: Install R studio
Step2: Run R and install twitterR package: twitteR
Start Rstudio and within which to install R package twitter.
Load the library to RStudio
Step3: get twitter Apps Key and Secret
In order to get tweets, we need to be authenticated by Twitter through apps key and secret.
Click ‘Apps’ on the right side panel
Click ‘Details’ in the Mercy IASP
Click ‘Keys and tokens’ on the middle tab
Step4: Do OAUTH
Using keys and secrets to do authorization. The values are to be replaced by yours.
>tkey tkey_secret taccess_token taccess_token_secret setup_twitter_oauth(tkey, tkey_secret, taccess_token,taccess_token_secret)
Here we see
We can choose 2 as “no”.
Step 5 Get tweets
> tweets tweets
Step 6: Save to CSV file
Students can use csv file for analysis. When data needs to span a period of time, it is better to use file.
They can be imported to the RStudio for analysis.
Step 7: Input data
Step 8: Trend Analysis
Step 9: More data Analysis
Students can investigate further from the csv file such as wordcloud, frequency, etc…
Students need to follow the instruction below to complete the work. Please attach screenshot to show
the work. These screenshot should be similar to what presented here. But it uses your key/token and
different search results using their search key word. The instructions are also posted in the course slides.
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Following the steps, students are asked to do the same data analysis using different keys that are
interested most to your question. For example, students may use a key word like “ransomware”,
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