RapidMiner からTwitter Data にデータ連携

この記事では、CData JDBC driver for Twitter をRapidMiner のプロセスに簡単に統合する方法を説明します。ここでは、Twitter にCData JDBC ドライバーを使用して、Twitter data をRapidMiner のプロセスに転送します。

JDBC データソースとしてRapidMiner のTwitter に接続

You can follow the procedure below to establish a JDBC connection to Twitter:

1. Add a new database driver for Twitter:Click Connections -> Manage Database Drivers.
2. In the resulting wizard, click the Add button and enter a name for the connection.
3. Enter the prefix for the JDBC URL: jdbc:twitter:
4. Enter the path to the cdata.jdbc.twitter.jar file, located in the lib subfolder of the installation directory.
5. Enter the driver class: cdata.jdbc.twitter.TwitterDriver
6. Create a new Twitter connection:Click Connections -> Manage Database Connections.
7. Enter a name for your connection.
8. For Database System, select the Twitter driver you configured previously.
9. Enter your connection string in the Host box.

   すべてのテーブルには認証が必要です。OAuth を使用してTwitter で認証する必要があります。OAuth では認証するユーザーにブラウザでTwitter との通信を要求します。詳しくは、OAuth 認証の使用 を参照してください。

   ビルトイン接続文字列デザイナー

   For assistance in constructing the JDBC URL, use the connection string designer built into the Twitter JDBC Driver.Either double-click the JAR file or execute the jar file from the command-line.

   java -jar cdata.jdbc.twitter.jar

   Fill in the connection properties and copy the connection string to the clipboard.

   

   A typical connection string is below:

   InitiateOAuth=GETANDREFRESH
10. Enter your username and password if necessary.

You can now use your Twitter connection with the various RapidMiner operators in your process.To retrieve Twitter data, drag the Retrieve operator from the Operators view. With the Retrieve operator selected, you can then define which table to retrieve in the Parameters view by clicking the folder icon next to the "repository entry."In the resulting Repository Browser, you can expand your connection node to select the desired example set.

Finally, wire the output to the Retrieve process to a result, and run the process to see the Twitter data.