Are you ready to dive into the exciting world of Twitter data visualization? If you’ve ever wanted to analyze tweet volume and sentiments based on specific keywords, Stocktalk is your go-to tool! In this guide, we will walk you through the steps to set up Stocktalk, troubleshoot common issues, and keep you on track for success.

What is Stocktalk?

Stocktalk is a visualization tool that brings Twitter data to life. It enables you to track tweet volume and sentiment related to specific queries, updating every 15 minutes. Just imagine it as a radar that scans for tweets about, say, Ethereum, and records valuable data continuously, ready for you to analyze through an interactive web application.

Getting Started with Stocktalk

Before you can start your stock-tweeting adventure, you need a few essentials.

Prerequisites

• Twitter API credentials
• Mlab account for your online database

Step-by-Step Setup

Twitter Setup

1. Sign in to apps.twitter.com.
2. Create a new application and fill out the required details.
3. Generate your access token.
4. Save the following information:
   • Consumer Key
   • Consumer Secret
   • Access Token
   • Access Token Secret

Mlab Setup

1. Make an account at mlab.com.
2. Create a new deployment in sandbox mode.
3. Add a database user to your deployment.
4. Save the following details:
   • Mongo deployment server
   • Mongo deployment ID
   • Mongo deployment client
   • Deployment user
   • Deployment pass

Downloading Stocktalk

Now that you have your prerequisites set up, let’s download and install Stocktalk!

# Clone repository and install dependencies
$ git clone https://github.com/anfederico/Stocktalk
$ pip install -r Stocktalk/requirements.txt

# Install natural language toolkit sentiment corpus
$ python -m nltk.downloader vader_lexicon

Editing Settings

Next, you need to configure the settings for your Twitter and Mlab integration.

# Edit settings in stocktalk scripts
mongo_server = ds254236.mlab.com
mongo_id     = 54236
mongo_client = stocktalk
mongo_user   = username
mongo_pass   = password

# Twitter keys configuration
api_key             = "YOUR_API_KEY"
api_secret          = "YOUR_API_SECRET"
access_token        = "YOUR_ACCESS_TOKEN"
access_token_secret = "YOUR_ACCESS_TOKEN_SECRET"
credentials = [api_key, api_secret, access_token, access_token_secret]

How Stocktalk Works

The magic of Stocktalk lies in its ability to open a websocket that streams live tweets based on the keywords you’ve specified. Think of it as a diligent librarian that continuously scans through mountains of books (tweets) and pulls out all relevant mentions of key figures or topics (like Ethereum or Bitcoin), sorting through them seamlessly every 15 minutes.

# Twitter Streaming
$ python listen.py
from scripts import settings

# Each key corresponds to an array of keywords
queries = {
    "ETH": ["ETH", "Ethereum"],
    "LTC": ["LTC", "Litecoin"],
    "BTC": ["BTC", "Bitcoin"],
    "XRP": ["XRP", "Ripple"],
    "XLM": ["XLM", "Stellar"]
}

# Aggregate volume and sentiment every 15 minutes
refresh = 15 * 60
streaming.streamer(settings.credentials, queries, refresh, sentiment=True, debug=True)

Real-time Visualization

To view your data visually, initiate the local web application which pulls data from your online database.

# Run the web application
$ python app.py

Troubleshooting Tips

Here are some common issues you might encounter and how to resolve them:

• API Credentials Error: Ensure that all your Twitter API keys are correctly entered in the settings file.
• Connection Issues: Check your internet connection and confirm that Mlab’s services are up and running.
• Dependency Problems: If you encounter issues installing dependencies, ensure you are using the correct version of Python and pip.

If you run into any other problems, feel free to reach out! For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Conclusion

Congratulations! You’ve now set up Stocktalk, and you’re ready to explore the fascinating world of Twitter sentiment analysis. Use this tool responsibly and enjoy the insights it provides!