Transform The Way Your NLP Models Understand Text
Diffgram’s Scalable And Simple-To-Use Application Can Improve The Speed And Accuracy Of Annotating And Labelling Your Text Data For Training Your NLP Models Faster
[2 minutes dev install]
Increase The Efficiency Of Your NLP’s Training Data With Diffgram
Context is everything. Diffgram’s text labeling capabilities can not only improve your speed of annotating text data but also the quality of your output. With our suite of solutions, you can test out multiple ways to annotate your text in order to better train your data.
Level Up Your NLP Models With Diffgram
Diffgram’s comprehensive platform and UNLIMITED Annotation Model supports almost every possible text annotation task you can throw into it. If it’s not here yet, it means we have it in our roadmap soon.
- UNLIMITED Annotations
- UNLIMITED Automations
- Faster to output
- Simplified human review pipelines
- Better data security
- Name Entity Recognition
- Part of Speech Tagging
- Coreference Resolution
- Dependency Parsing
Trusted By Over 11,000 Users Around The World
Built For Scale And Comprehensiveness
Diffgram’s text annotation tool can handle any complex type of annotations. The following are some (of many) high-level use-cases (for references) in which you can deploy the use of Diffgram’s text annotations solutions. Diffgram’s use cases soar ranging from:- Named Entity Recognition, Part of Speech Tagging, Coreference Resolution, Dependency Parsing and more
Search Relevance
Build and improve your search engine models faster and better
Multilingual Labelling
Label text from any different language
Sentiment Analysis
Develop deep context and meaning to your models through clearly labeled data.
Text Classification
Text recognition algorithms can be trained to perform highly relevant text classification.
Why Only Diffgram?
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Leverage Open Source
Diffgram is Open Source. It is changing, improving, and evolving every day with code and development contributions from thousands of users from around the world.
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Spectacular ROI
Diffgram users save huge on their training data processes (right from a fully loaded engineer to supervisors and more). Diffgram will significantly bring down your training data costs and improve your productivity.
2
Annotate UNLIMITED
Diffgram's UNLIMITED model is built to provide its users access to create UNLIMITED annotations and UNLIMITED automations at no extra cost irrespective of your choice of service. Be it open source, premium or enterprise, every user gets the true power or UNLIMITED.
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Engineering Led Support
Get support from the people who built Diffgram. Our open-source users can leverage our deep-level support documents and connect with the Diffgram community on our slack. Our premium and enterprise users can leverage on-demand Engineer led email and video call support.
Why Only Diffgram?
1
Leverage The Power of Open Source
Diffgram is Open Source. It is changing, improving, and evolving every day with code and development contributions from thousands of data scientists from around the world.
2
Priced for Convenience
We also provide premium and enterprise-level solutions for companies of every scale and size. Pay for the premium to save more on your entire training data costs.
3
Spectacular ROI
Diffgram users save huge on their training data processes (right from a fully loaded engineer to supervisors and more). Diffgram will significantly bring down your training data costs and improve your productivity.
4
Engineering Led Support
Get support from the people who built Diffgram. Our open-source users can leverage our deep-level support documents and connect with the Diffgram community on our slack. Our premium and enterprise users can leverage on-demand Engineer led email and video call support.
Superior Quality For Faster Annotation
Don’t just annotate data. With Diffgram, ingest, annotate, automate and create human review workflows all in a single platform. Our platform also supports annotation queries and secure debugging. No need to leave the platform.
Level Up Your Model’s Learning By Annotating Your Data On Diffgram