UBIAI vs CoreNLP: What are the differences?

UBIAI: An easy-to-use text annotation tool for NLP applications. It is an efficient and easy-to-use text annotation tool for Natural Language Processing (NLP) applications. With this, you can train an NLP model in few hours by collaborating with team members and using the machine learning auto-annotation feature; CoreNLP: A set of human language technology tools. It provides a set of natural language analysis tools written in Java. It can take raw human language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize and interpret dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases or word dependencies, and indicate which noun phrases refer to the same entities.

UBIAI can be classified as a tool in the "Data Labeling as a Service" category, while CoreNLP is grouped under "NLP / Sentiment Analysis".

Some of the features offered by UBIAI are:

• Multi-format document upload: TXT, CSV , JSON , PDF, DOC, HTML
• Multilingual: English, French, German, Arabic, Spanish, etc…
• Dictionary/Regex auto-annotation: input a list of words or regex patterns along with their associated entities. The tool will automatically scan the documents and auto-annotate

On the other hand, CoreNLP provides the following key features:

• An integrated NLP toolkit with a broad range of grammatical analysis tools
• A fast, robust annotator for arbitrary texts, widely used in production
• A modern, regularly updated package, with the overall highest quality text analytics

CoreNLP is an open source tool with 7.45K GitHub stars and 2.48K GitHub forks. Here's a link to CoreNLP's open source repository on GitHub.