Media Industry NLP Solutions

Use cases

Practical labeling platform that drives innovation for Media organizations

Sentiment analysis

Categorize and tag categorize news articles or blog posts into specific topics. Label content as positive, negative, or neutral to understand public opinion, and track sentiment trends.

Fake news detection

Analyze the linguistic features, credibility of sources, and contextual clues. Flag potentially false and misleading information to help verifying the accuracy of news stories.

Automated transcription

Extract knowledge in any language from interviews, press conferences and podcasts. Transcribe and annotate audio recordings for real time insights.

Benefits

Unlock the advantages of combining LLM with NLP labeling for Media

Robust, customizable text labeling

To unlock AI's true potential, you need a tool that is designed with text labeling at the core. Experience advanced, highly user-friendly NLP labeling.

Configurable UI
Audio transcription
OCR features
Hierarchical labeling

Improve data quality

Quality data means quality models. Datasaur’s robust NLP labeling tools let your team label quickly and accurately to build high performance models.

Advanced QA features
Hotkeys and clickless labeling
Search extension features
Inter-annotator disagreement tools

Automate monotony away

Features like ML-assisted labeling automate the bulk of your labeling. Drive down labeler—and project—times substantially.

Automated project creation
ML-assisted labeling
Automated project import and exports
Automated reporting and progress logging

Why Datasaur?

Evolve and deliver business impact with deep NLP and LLM expertise

Robust text labeling tools

Rudimentary labeling tools are no match for complex projects. Features included: sentiment analysis, data extraction, text classification, etc.

Advanced workforce management

Creating custom QA reports and manually searching for the project insight sinks time. Time that could be spent building quality models.

Military-grade security

Datasaur boasts ironclad security. This means end-to-end encryption, SOC2 certification, multiple deployment options, built-in security features, etc.

As seen on

We [Consensus] had a very complex and specific set of annotation needs. Datasaur was able to address those needs efficiently and effectively.

Eric Olson, Co-founder and CEO, Consensus

Information labeling tasks has been reduced by 80% which has allowed us to optimize our workflow much more, allowing us to focus on other areas that are also priorities for us.

Product Manager, LegalTech

"We looked at Prodigy, LightTag, LabelBox, Scale and more. You really can't beat Datasaur for their suite of features and price point."

Director of Data Science, Financial Institution

Wondering how we can support your use case?

Advanced NLP and LLM data labeling platform for

Media Organizations