Use Tinq.ai to extract and check web articles for plagiarism with ease. Learn to set up workflows and automate content monitoring.
How Plagiarized Content Affects SEO and Tips for Ensuring Originality
Duplicate content can hurt SEO and damage credibility. Learn the impact and get essential tips to keep your content original and effective.
Content Extraction with Tinq.ai
Learn how to efficiently extract and analyze web content using Tinq.ai's Article Extractor, both through API and a simple web interface. This guide also shows how to integrate the tool with other Tinq.ai features for a powerful content workflow.
How to write essays with Tinq.ai's AI-based writing assistant
Sometimes, writing essays may not be the most straightforward thing to do. Especially when the topic is assigned.
For this reason, having guidance on where to get started is primordial when writing an essay. In order to do that, AI tools have become prev
How to write engaging Tweets with AI?
By using Tinq.ai to write more engaging tweets, you can connect with your audience and build a strong social media presence.
Read Discord chats with Python
In this tutorial, you will learn how to create a simple Discord app and a Bot that reads incoming chats from a server using Python.
Analyze tweets with Tinq.ai
Automate brand sentiment analysis on tweets using Tinq.ai, Zapier, and Airtable.
What is text classification and how does it work?
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.
What is NLP and what is it used for?
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.
How to create a smart feedback form with Tinq.ai, PHP and Airtable
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".