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NLP Multilingual Social Media - 60,000 categorized phrases in 6 languages (English, Spanish, French, German, Chinese, Arabic)
NLP / Natural Language Processing
Tags and Keywords
"No reviews yet"
£9,500
About
Multilingual Social Media Phrase Corpus
Size: 60,000 categorized phrases
Source: Social media platforms (e.g., Twitter, Reddit, Instagram)
Languages: 6 (English, Spanish, French, German, Chinese, Arabic)
Format: Structured text (Excel, CSV) with phrases categorized based on its field
Data Composition
Phrases: Short text snippets (tweets, comments, captions) from public social media posts
Categories: Topic(s) (e.g., technology, health, politics)
Collection Methodology
Period: Data spans 2020–2025
Process: Scraped via manual extraction with compliance to platform terms; anonymized to remove personal identifiers
Quality Control: Manual and automated checks for relevance, accuracy, and category consistency
Key Features
Multilingual: Covers 6 major languages, enabling cross-lingual NLP applications
Scale: Large volume supports robust model training
Diversity: Varied platforms and user bases ensure broad representation
Categorized: Pre-labeled for topic reducing preprocessing needs
Applications
Sentiment Analysis: Gauge public opinion across languages
Trend Detection: Identify emerging topics or market shifts
Customer Insights: Analyze feedback for brand monitoring
Chatbot Training: Enhance multilingual conversational AI
Cross-Lingual Research: Study linguistic patterns or cultural differences
Technical Details
Storage: Available in Excel (6.97 MB), CSV (600 MB)
Access: Download; available on a license basis
Schema:
- phrase: Text content (string)
- language: Language denoted by tab
- category: Topic (string)
Sample Entry:
{ "phrase": "Love the new phone update!","category": "phone/general", "Notes": "Phrase stating love for a new phone update"}
Use Cases
Marketing: Track brand sentiment globally
Product Development: Identify user pain points from feedback
Research: Study social media trends across cultures
AI Development: Train NLP models for multilingual applications
AI Research: Creation or further development of models for research purposes
Limitations
Bias: Reflects social media demographics, may skew younger
Noise: Some phrases may contain slang or errors
Coverage: Limited to 6 languages; other languages underrepresented
Privacy: Anonymized, but public post origins may limit sensitivity
Getting Started
Access: Access according to owner (AILinguaTech LLC) or via listed marketplace’s terms and conditions
Listing Stats
VIEWS
95
DELIVERY
INSTANT DOWNLOAD
LISTED
30/04/2025
UPDATED
12/10/2025
REGION
GLOBAL
QUALITY
5 / 5
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£9,500
Download Dataset in CSV Format
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