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R Programming

R Programming. Social Media Mining Module: Accessing an API. Social Media Mining Module. Accessing an API Extracting Data Cleaning and PreProcessing Data Modeling Frequency analysis Clustering Segmentations Result Visualizations. SMMM: Accessing an API.

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R Programming

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  1. R Programming Social Media Mining Module: Accessing an API

  2. Social Media Mining Module • Accessing an API • Extracting Data • Cleaning and PreProcessing • Data Modeling • Frequency analysis • Clustering • Segmentations • Result Visualizations

  3. SMMM: Accessing an API API = Application Program(ming) Interface An application program interface (API) is code that allows two software programs to communicate with each other.

  4. SMMM: Accessing the Twitter API STEP 1: Create a Twitter account STEP 2: Install a bunch of packages (see code). STEP 3: Go to: https://apps.twitter.com/app/new

  5. SMMM: Accessing the Twitter API

  6. SMMM: Accessing the Twitter API STEP 4: Obtain your keys and your tokens. You will need four pieces of information to connect to the Twitter API – • Customer API Key • Customer API Secret • Access Token • Token Secret Note that these are UNIQUE to you and TEMPORARY.

  7. SMMM: Accessing the Twitter API

  8. SMMM: Accessing the Twitter API

  9. SMMM: Accessing the Twitter API STEP 5: Establish the connection and then create the “handshake”. reqURL <- "https://api.twitter.com/oauth/request_token" accessURL <- "https://api.twitter.com/oauth/access_token" authURL <- "https://api.twitter.com/oauth/authorize" twitCred <- OAuthFactory$new (consumerKey=consumerKey, consumerSecret=consumerSecret, requestURL=reqURL, accessURL=accessURL,authURL=authURL) twitCred$handshake(cainfo = system.file("CurlSSL","cacert.pem", package = "RCurl")) STEP 6: The “handshake” will generate a unique PIN that you will have to paste into your console.

  10. SMMM: Accessing the Twitter API

  11. SMMM: Accessing an API Once you establish the handshake, you are ready to start scraping! You can scrape “real time” using FilterStream or you can scrape retroactively using SearchTwitter.

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