Analyze tweets with Tinq.ai
Automate brand sentiment analysis on tweets using Tinq.ai, Zapier, and Airtable.
Automate brand sentiment analysis on tweets using Tinq.ai, Zapier, and Airtable.
Text classification (or categorization) is one of the most common natural language processing (NLP) tasks. It consists in associating an unstructured text with a tag, which corresponds to a specific class.
NLP is a branch of artificial intelligence that deals particularly with the processing of written language. In short, it is everything that is related to human language and its processing by computer tools.
In this tutorial, we will learn how to build a simple, yet powerful feedback form using Tinq.ai and Airtable. We will use Tinq-ai's sentiment analysis tool to analyze the user's feedback, and classify them as "neutral", "positive" or "negative".
Check a document for plagiarism and then use the rewriter to rewrite that content as unique content, free of plagiarism. That means that this content passes plagiarism checkers such as Turnitin.