fernandocallejasr / TweetScanner

NLP model that fetches last 100 tweets over a topic specified by the user and evaluates their sentiment as 'Positive', 'Negative', and 'Neutral'

Twitter Sentiment

Use the power of machine learning to know in an instant what people think about any topic, account, or hashtag in Twitter.

Features

• We use a machine learning Natural Language Processing (NLP) model to predict if the sentiment of a tweet was Neutral, Positive or Negative.
• We fetch the last 100 tweets about your search and obtain an overall score of them
• After obtaining the overall score the user gets the result on screen.

How to Get Sarted

1. Install the latest version of Xcode from the Mac AppStore.
2. Install CocoaPods to your machine.
3. Fork the project and clone it to your local machine.
4. In the terminal, change directory to the one that contains the project.
5. Run pod install to be able to build locally.
6. Create an account as a twitter developer and obtain your own consumer API key and consumer secret API key.
7. Change the strings in the swifter constant using your own Twitter API keys.

If having problems with Swifter

Delete the Swifter file in the files inspector and replace it with the one from the clone of the git repository: Swifter then embed the iOS.framework.