What is Tisane?
The Tisane API serves as a natural language understanding tool specifically designed for law enforcement and the detection of abusive content. It is adept at identifying various issues, including but not limited to:
• Hate speech
• Cyberbullying
• Criminal behavior
• Sexual propositions
• Efforts to make unauthorized external contact
Furthermore, Tisane not only highlights the problematic areas within the text but can also offer explanations for review or verification purposes. Impressively, the API supports 30 different languages, effectively managing even those that incorporate slang or disguised language. This versatility enhances its utility in diverse linguistic environments.
Pricing
Price Overview:
Subscription SaaS or on prem
Free Version:
Free Version available.
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Screenshots and Video
Company Facts
Company Name:
Tisane Labs
Date Founded:
2017
Company Location:
Singapore
Company Website:
tisane.ai
Product Details
Deployment
SaaS
Windows
Training Options
Documentation Hub
Not Offered
Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
Afrikaans
Albanian
Arabic
Chinese (Mandarin)
Chinese (Simplified)
Danish
Dutch
English
Finnish
French
German
Hebrew
Hindi
Hungarian
Indonesian
Italian
Japanese
Korean
Malay
Norwegian
Persian
Polish
Portuguese
Russian
Spanish
Thai
Urdu
Vietnamese
View All
Tisane Categories and Features
Text Mining Software
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
Qualitative Data Analysis Software
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
Natural Language Processing Software
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
