Using the Twitter Streaming API, collect tweets, index, and search utilizing Lucene.

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

What things you need to install the software and how to install them

• Python 3

• Tweepy

• PyLucene

Follow the installation instructions for Python and PyLucene

• Requires ant: $ sudo apt-get install ant

• Execute the following command to install and setup

./installer.sh

COMPLETE THE FOLLOWING FILE

Twitter API Credentials need to be stored in the private.py file: as follows:

TWITTER_KEY = ""
TWITTER_SECRET = ""
TWITTER_APP_KEY = ""
TWITTER_APP_SECRET = ""

To run the full test execute the following command:

python3 main.py {options...}

With the supported {options...}

• --generateFile {outputFileName}

• --file {inputFileName}

• --searchIndex {searchTerm},{searchTerm},...

• --searchTwitter {outputFileName}

  • Queries Twitter for 10,000 teets returned for search term

• --skipIndex {true/false}

  • Skips index generation if already exists

• --maxTweetCount {integer}

  • Will only collect this number of tweets

• --customPhrase {customPhrases},{customPhrases},...

  • Will customize the index for these specific phrases (i.e. "Hello World", "West Coast", etc.)

Examples:

python3 main.py --generateFile tweets.csv --searchIndex "Term1","Term2" --maxTweetCount 10000

python3 main.py --file tweets.csv --skipIndex true --searchIndex "Term1"

 python3 main.py --file tweets2.csv --searchIndex "#WMPO" --customPhrases "PGA Tour","Rickie Fowler"

• Trevor Van Meter - GitHub: vanmeter-t