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Description
AWAI offers two distinct methods of operation, both leveraging the same analytical framework.
The first method, group analysis, eliminates the need for a traditional fixed questionnaire; instead, you can compose your questions in straightforward language and distribute an invite link, allowing respondents to participate without needing an account. Each individual engages with the AI independently, which prompts further discussion to elicit deeper insights. Once completed, the conversations are organized according to opinions, the underlying rationale, and the number of individuals who expressed each viewpoint, with unique opinions treated as outliers rather than being averaged out. This option accommodates up to 100 participants on a self-serve basis.
The second method involves real-time meetings where each participant selects their preferred language for communication and reading, and contributions are categorized under specific topics as the discussion unfolds. Following the meeting, the content is organized thematically rather than presented as a mere transcript.
Both approaches culminate in the creation of a document, where you can pose a straightforward question regarding the gathered information, resulting in a report that can be exported as a PDF and edited without any additional charges.
Additionally, a public demo is available, requiring no registration to access. This accessibility allows potential users to explore AWAI's capabilities effortlessly.
Description
Utilize natural language processing to derive insights from unstructured text without needing machine learning expertise, leveraging a suite of features from Cognitive Service for Language. Enhance your comprehension of customer sentiments through sentiment analysis and pinpoint significant phrases and entities, including individuals, locations, and organizations, to identify prevalent themes and trends. Categorize medical terminology with specialized, pretrained models tailored for specific domains. Assess text in numerous languages and uncover vital concepts within the content, such as key phrases and named entities encompassing people, events, and organizations. Investigate customer feedback regarding your brand while analyzing sentiments related to particular subjects through opinion mining. Moreover, extract valuable insights from unstructured clinical documents like doctors' notes, electronic health records, and patient intake forms by employing text analytics designed for healthcare applications, ultimately improving patient care and decision-making processes.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Azure Marketplace
No
TAS Insight Engine
No
Unremot
No
Pricing Details
$11.99/month
Free plan available, no card required. Subscriptions are Plus $11.99, Pro $29.99 and Ultra $99.00 per month.
Group analysis is a one-time purchase rather than a subscription: $799.00 base plus $11.99 per respondent, for up to 100 respondents on self-serve. Reports are included at no extra cost.
Prices are shown in the viewer's local currency; USD is the reference.
Group analysis is a one-time purchase rather than a subscription: $799.00 base plus $11.99 per respondent, for up to 100 respondents on self-serve. Reports are included at no extra cost.
Prices are shown in the viewer's local currency; USD is the reference.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
OFFICE KAMIYA Inc.
Founded
2016
Country
Japan
Website
www.officekamiya.co.jp/
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/cognitive-services/text-analytics/
Product Features
Qualitative Data Analysis
Annotations
No
Collaboration
Yes
Data Visualization
Yes
Media Analytics
No
Mixed Methods Research
No
Multi-Language
Yes
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
Yes
User Research Analysis
Yes
Product Features
Natural Language Processing
Co-Reference Resolution
Yes
In-Database Text Analytics
Yes
Named Entity Recognition
Yes
Natural Language Generation (NLG)
Yes
Open Source Integrations
Yes
Parsing
No
Part-of-Speech Tagging
Yes
Sentence Segmentation
Yes
Stemming/Lemmatization
Yes
Tokenization
No