Textbox processes text and performs natural language processing, sentiment analysis and entity and keyword extraction allowing you to build tools that programatically understand the content of text.

• BLOG: Introducing Textbox: Natural language processing
• BLOG: Increase the power of your search engine

Uses for Textbox

This capability has a variety of utilities:

• Understand if a comment is positive or negative
• Discover any people mentioned in unstructured data
• Build email auto-responders that automatically reply with the right answers
• Extract and handle dates and times (like “yesterday”, or “next Tuesday”)
• Get a list of the most significant keywords from a series of tweets
• Analyze customer reviews to discover up and down trends in sentiment

To learn more about what you can do with Textbox, visit the Machine Box blog.

Capabilities

Textbox analyzes a block of text and discovers the following items:

• Sentences - Each sentence from a body of text is extracted
• Sentiment - A sentiment value indicates whether a sentence is positive or negative
• Entities - People, places, organizations, dates and times, etc. for each sentence are extracted
• Keywords - The most significant items mentioned in the text are returned

Text analyzer tool

Textbox ships with a live text analysis tool that shows you the true power of what can be achieved.

To access the Text analyzer:

1. Sign into the Account page
2. Setup your MB_KEY variable (learn more about the Box key)
3. Use the Textbox docker run command provided on the account page
4. Access http://localhost:8080/demo in your browser