Sentiment Analysis & NLP
Arabic and English natural language processing that extracts meaning from reviews, social media, call transcripts, surveys, and documents, turning unstructured text into actionable intelligence.
80% of enterprise data is unstructured text, emails, reviews, social posts, call transcripts, contracts, and documents. Our NLP platform processes Arabic (all dialects including Saudi, Gulf, Egyptian, Levantine, and Arabizi) and English text at scale, extracting sentiment, intent, entities, topics, and relationships. From brand monitoring and customer feedback to contract analysis and regulatory document processing, we turn words into structured, actionable data.
What We Do
Sentiment Analysis & NLP capabilities
- 01
Multi-Dialect Arabic Sentiment
AI understanding sentiment in Saudi, Gulf, Egyptian, Levantine dialects, code-switching, and Arabizi with 95% accuracy.
- 02
Social Media Intelligence
Real-time monitoring of Twitter/X, Instagram, TikTok, Reddit, and forums for brand mentions, trends, and crisis detection.
- 03
Call & Chat Transcript Mining
Automated analysis of 100,000+ support interactions extracting pain points, product feedback, and agent quality scores.
- 04
Document Intelligence
AI extracting entities, clauses, and key terms from contracts, regulations, and government documents in Arabic and English.
- 05
Topic Modeling & Trend Detection
Unsupervised AI discovering emerging topics, shifting sentiment, and viral discussions before they become mainstream.
- 06
Competitive Intelligence
Monitoring competitor mentions, product reviews, and market positioning across Arabic and English sources.
Our Approach
From your data to a working result
- 01
Text Source Mapping
Identify all unstructured text sources, volumes, languages, and business questions that NLP can answer.
- 02
Arabic NLP Model Selection
Select and fine-tune models optimized for your domain, financial Arabic, medical terminology, consumer slang.
- 03
Taxonomy & Label Design
Define sentiment scales, topic taxonomies, entity types, and intent categories aligned to business needs.
- 04
Pipeline Development
Build real-time and batch processing pipelines for ingestion, preprocessing, analysis, and structured output.
- 05
Dashboard & Integration
Deploy insights into dashboards, CRM, support systems, and alerting platforms for actionable consumption.
- 06
Model Refinement
Continuous accuracy improvement through human-in-the-loop feedback, new training data, and dialect updates.
Industry Applications
Where it makes a difference
Technologies & Models We Use
Enterprise-grade tools and frameworks powering our solutions.
Python
Language
PyTorch
Transformers
TensorFlow
ML Framework
FastAPI
API Serving
Elasticsearch
Text Search
MongoDB
Document DB
Docker
Deployment
AWS
Cloud
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