Tagger
D · Extended EcosystemAutomates the tagging and classification of text data using NLP to help researchers efficiently analyze qualitative data through entity extraction, sentiment analysis, and topic modeling.
researchtagger.comFounded 2015
Last updated Feb 8, 2026
- Industry
- Research Technology / Text Analytics
- Business Model
- SaaS
- Target Market
- Enterprise B2B
- Employee Count
- 11-50
- Funding
- $2.5M
- API Available
Market Position
Challenger
Overview
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.
Products & Features
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
Key Features
Automated text taggingEntity extractionSentiment analysisTopic modelingText classification
Use Cases
Academic researchQualitative data analysisContent categorizationLiterature reviewText mining
Customer Segments
Academic researchersMarket researchersContent analystsWriters