Average Ratings 12 Ratings

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Average Ratings 0 Ratings

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Description

Key Features: 1. Coding: COSTAQDA provides a robust coding platform that allows researchers to categorize and tag qualitative data efficiently. It supports various coding methods, including descriptive, narrative, in vivo, and emotion coding, making it adaptable to a wide range of research methodologies. 2. Ordering/Organizing: The software enables users to structure their coded data systematically. Researchers can organize codes into hierarchies, categories, or themes, which is crucial for understanding complex relationships within the data and preparing it for deeper analysis. 3. Theme Discovery: COSTAQDA includes advanced tools for identifying and extracting themes from coded data. This thematic analysis capability helps researchers uncover patterns and insights that are essential for drawing meaningful conclusions from qualitative studies. 4. Testing Analysis: COSTAQDA supports the validation of research findings through its Testing Analysis feature. It includes an Inter-Coder Reliability test using Cohen's Kappa, which ensures consistency and reduces bias in coding, particularly in collaborative research projects.

Description

Laser AI is a cutting-edge tool that leverages artificial intelligence to streamline the systematic review process for researchers, enabling faster identification, evaluation, and synthesis of evidence. By enhancing reviewer efficiency, it greatly alleviates the burden of workload that researchers often face. Utilizing an array of AI methodologies, such as natural language processing and machine learning, Laser AI automates several tasks typically associated with systematic reviews. This innovative approach not only conserves valuable time and effort for researchers but also enhances the overall quality of the reviews conducted. The platform is equipped with features like AI-driven data extraction, readiness for living reviews, and robust quality assurance mechanisms to ensure review accuracy. Adhering to rigorous methodologies recognized by top governmental and academic institutions, it facilitates organizations in organizing and repurposing data through controlled vocabularies and a dedicated data-cleaning module. Furthermore, Laser AI provides comprehensive support for living systematic reviews throughout the entire process, incorporating advanced security measures to safeguard the information. This multifaceted tool represents a significant advancement in research methodologies, aiming to transform how reviews are conducted in various fields.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

GitHub
Google Sheets
JSON
Microsoft Azure
Microsoft Excel

Integrations

GitHub
Google Sheets
JSON
Microsoft Azure
Microsoft Excel

Pricing Details

$80
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Global Centre for Academic Research

Founded

2019

Country

South Africa

Website

www.vleresearch.net

Vendor Details

Company Name

Laser AI

Country

Poland

Website

www.laser.ai/product

Product Features

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Product Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

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