8Sentiment for Pc

1. The view accesses Twitter (using Developer Account Standard APIs) and retrieves the latest (most recent) 100 tweets posted on the subject text field.

2. However, it's based on science! It utilises Apple's Core ML (Machine Learning) algorithms to model and evaluate datasets of tweets and text to determine the text sentiment and displays its (concise) result in one Apple Emoji.

3. o Text View: You can type any free form text and let the app predict the text sentiment using either Happy, Neutral or Sad emojis.

4. Enter the text using the Twitter @ or # tags or any free form text.

5. The total of each classification is then shown on the view and a criteria applied (see below) to determine the overall sentiment emoji.

6. Important: The app accesses Twitter using Standard APIs linked to my Developer Account.

7. o Tweets view: 8Sentiment launches on the Tweets view.

8. Blog opens a web view of 8apps.co blog (but no external navigation or web access).

9. Once retrieved, each Tweet’s sentiment is classified as either Positive, Negative or Neutral.

10. o Settings View: Info is this view.

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