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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.

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

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