Text Summarization is the process of shortening a set of data, to create a subset (a summary) that represents the most important or relevant information within the original content.

For each task, you can add as summarizations as needed. Write them into the text area and click Add.

You can remove any summarization by clicking the trash button.

Text Intent Recognition

Text Summarization

Video Classification

M47AI

Welcome to the M47.AI Docs. You'll find comprehensive references, tutorials, and explanations to help you start working with M47.AI as quickly as possible.

M47.AI

Introduction to M47AI 

How M47AI works

How to sign-up

Concepts & Definitions

Plans & Pricing

Support

Dashboard 

Dashboard as an annotator

Dashboard as a QA or Project Manager

Projects

Create a Project

Project Management & KPIs

Project Status

Roles in Project

What is a Dataset

Create a Dataset

Annotated Dataset

Datasets

What is a Tagset

Create a Tagset

Tagsets

Audio Classification

Entity Linking

Intent Creation

Image Classification

Named-Entity Recognition (NER)

Part Of Speech (POS Tagging)

Question Answering

Sentiment Analysis

Semantic Textual Similarity

Text Classification 

Text Entailment

How to annotate

Text Classification - Single Choice

Text Classification - Multiple Choice

Export annotations

Annotations

Organizations

Teams

Labeling Quality

Data quality