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Capability Categories

Detecting Sentiment and Entities Enterprise Stack Integrations Exploring Reviews Kit Integrating eCommerce Kit Leveraging Dark Web Location Enrichments Location-Based Data Collection OSINT Starter Kit Quick KYC and Underwriting Kit Quick Social Media Integrations Social Listening Basics Using Gemini AI Using unique data Video Collection and Processing

Detecting Sentiment and Entities

Detecting sentiment and entities are core requirements for understanding user-generated data and guiding to insights.

Tisane Topic Extraction
Datastreamer Entity Recognition
Tisane Entity Extraction
Datastreamer Sentiment Classifier
Datastreamer User Sentiment Classifier
ChatGPT Summarization
PrivateAI PII Detection
Social Voice On-Screen Logo Detection Model
Datastreamer Product Detection Classifier
Datastreamer AI Brand Recognition Classifier
Private AI PII Redaction
ChatGPT Prompts
Datastreamer Location Inference Enrichment
Datastreamer Product Brand Detection
Social Voice Toxicity Classifier
Datastreamer Product Name Detection
Tisane Problematic Content Detection
Social Voice Brand Safety Model (GARM)
Cohere Sentiment
Google GeminiAI Prompts
Social Media Sentiment
Datastreamer Dominant Location Classifier
Social Voice IAB Category Classifier
Datastreamer Product Sentiment Detection
Social Voice On-Screen Text Detection Model
Social Voice Tonality Classifier
Social Voice Personality Model
Social Voice Direction Focus Classifier
Social Voice Transcription
Tisane Sentiment Analysis
Datastreamer PDF Table Extraction
DarkOwl Entity API
Datastreamer Cultural Reference Recognition Model
Social Voice Political Leaning Model

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