Tagger
Automates the tagging and classification of text data using NLP to help researchers efficiently analyze qualitative data through entity extraction, sentiment analysis, and topic modeling.
Last updated May 10, 2026
- Industry
- Research Technology / Text Analytics
- Business Model
- SaaS
- Target Market
- Enterprise B2B
- Employee Count
- 11-50
- Funding
- $2.5M
- API Available
Challenger
Based on the provided website URL (researchtagger.com), this appears to be a natural language processing (NLP) research tool rather than an AdTech company. Research Tagger is designed to help researchers, academics, and writers automatically tag and classify text data for analysis purposes. The platform provides capabilities for entity extraction, sentiment analysis, and topic modeling to streamline qualitative research workflows. It's important to note that this company should not be confused with Tagger Media (taggermedia.com), which is a prominent influencer marketing platform in the AdTech space. Research Tagger operates in the research technology and text analytics sector, serving academic and professional researchers rather than advertisers or marketers. The tool focuses on automating the coding and categorization of textual data, which is a common need in qualitative research, content analysis, and academic studies.
Entity Extraction
Automatically identifies and extracts named entities from text data
Sentiment Analysis
Analyzes text to determine sentiment polarity and emotional tone
Topic Modeling
Discovers abstract topics and themes within text collections