UBIAI

      UBIAI  provides annotation services in the field of Natural Language Processing (NLP) and extracts actionable insights from unstructured documents for the users. Based in Oregon, UBIAI is a startup incorporated in 2020 with the main objective to help developers and companies democratize NLP across the world.        

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Text Annotation Software | UBIAI

Easy to Use Text Annotation Tool | Upload documents in native PDF, CSV, Docx, html or ZIP format, start annotating, and create advanced NLP model in a few hours. Collaborate with other users to accelerate the document annotation process. Manage users, assign documents and track the annotation progress. UBIAI high quality OCR annotation allow you to label native PDFs and images directly and auto annotate your dataset in multiple language annotation such as English, French and Arabic. UBIAI let you auto annotate your dataset using dictionaries (word, sentence and Regex inputs) and ML model.With UBIAI's built-in machine learning model, you can train and deploy your custom model without any code. Our NLP labeling tool supports Amazon Comprehend, JSON, Spacy, IOB, and CoreNLP formats

As a form of data annotation, text annotation software helps in the machine learning process of assigning meaning to blocks of text, whether they are small phrases, bigger sentences or full paragraphs. This is done by giving AI modes with extra information in the form of useful definitions, intent, and meaning to increase text as written. With the help of correct text annotations, different types of misunderstandings can be corrected and it can lead to a more accurate interpretation of the desired text at hand.  Check more on UBIAI for more in depth annotation tools.

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With the ample amount of information available online today, getting your hands on the relevant information that exactly suits your requirement is...

UBIAI is an easy-to-use text annotation tool. It enables you to create training data for your machine learning model. The tool offers named entity recognition annotation, relation annotation and document classification. This tool is equipped with high-quality features such as pre-annotation using dictionaries and regular expressions, smooth user interface, ML model training to auto-label your documents. It also offers a comprehensive team annotation feature for large organizations. Contact UBIAI today as it is the most comprehensive & easy-to-use annotation platform.

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Spacy Named Entity Recognition

Easy to Use Text Annotation Tool | Upload documents in PDF, CSV, Docx, html or ZIP format, start annotating, and create advanced NLP model in a few hours. Collaborate with other users to accelerate the document annotation process. Manage users, assign documents and track the annotation progress. UBIAI is a data labeling tool that offers the option to auto annotate your dataset in multiple language annotation such as English, French and Arabic. UBIAI let you auto annotate your dataset using dictionaries (word, sentence and Regex inputs) and ML model.With UBIAI's built-in machine learning model, you can train and deploy your custom model without any code. Our NLP labeling tool supports Amazon Comprehend, JSON, Spacy, IOB, and CoreNLP formats

SpaCy Named Entity Recognition has been instrumental in making NLP accessible by providing comprehensive and rich functionalities that are easy to use even for a non-machine learning expert.

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Building a knowledge graph for job search using  bert transformer

Easy to Use Text Annotation Tool | Upload documents in PDF, CSV, Docx, html or ZIP format, start annotating, and create advanced NLP model in a few hours. Collaborate with other users to accelerate the document annotation process. Manage users, assign documents and track the annotation progress. UBIAI is a data labeling tool that offers the option to auto annotate your dataset in multiple language annotation such as English, French and Arabic. UBIAI let you auto annotate your dataset using dictionaries (word, sentence and Regex inputs) and ML model.With UBIAI's built-in machine learning model, you can train and deploy your custom model without any code. Our NLP labeling tool supports Amazon Comprehend, JSON, Spacy, IOB, and CoreNLP formats

With the recent breakthroughs in the NLP field — whether it be named entity recognition, relation classification, question answering, or text classification — it is becoming a necessity for companies to apply NLP in their businesses to remain competitive.

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OCR Natural Language Processing

UBIAI is an Oregon-based startup that provides cloud-based solutions and services in the field of Natural Language Processing (NLP).

UBIAI NLP tagging tool allows humans and machines to work together to make the text labeling process painless. The Optical Character Recognition (OCR) feature of UBIAI combined with NLP and computer vision allows you to perform NER, relation extraction, and classification annotation directly, without you losing any layout.

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Auto Annotate

UBIAI labeling tool offers the option to auto-annotate your documents by using dictionaries and an ML model. With UBIAI’s built-in machine learning model, you can train and deploy your custom model without any code.

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UBIAI text annotation tool obtains the training data because of its versatile interface that allows us to switch between entity and relation annotation easily.

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NER Named Entity Recognition

One of the most useful applications of natural language processing (NLP) technology is information extraction from unstructured texts — contracts, financial documents, healthcare records, etc. — that enables automatic data query to derive new insights. Traditionally, named entity recognition has been widely used to identify entities inside a text and store the data for advanced querying and filtering.

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UBIAI is an Oregon-based startup that provides cloud-based solutions and services in the field of Natural language Processing. UBIAI is a text annotation tool that provides or generates training data...

Whether it’s receipts, contracts, financial documents, or invoices, etc., automating information retrieval will help you increase your business efficiency and productivity at a fraction of the cost. However, this amazing feat will not be possible without text annotation.

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Annotating Text

Annotating text to train and fine-tune a model for your own use is crucial. Therefore, choosing the right annotation tool with low UI friction and maximum automation is of the utmost importance.

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Optical Character Recognition AI

OCR processes images of text and converts that text into machine-readable forms. UBIAI’s OCR feature allows you to perform NER, relation extraction, and classification annotation directly on native PDF documents, scanned images or pictures from your phone without losing any layout information, resulting in a significant boost of your NLP model performance.

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Top 5 Easy-To-Use Text Annotation Tools

Text annotation tools are one of the most prominent parts of machine learning. Research areas such as search engines, Chabot’s, sentiment analysis, and virtual assistants require text annotation tools to better train the machine learning models.

Today, text annotation tools are one of the most prominent parts of machine learning. Research areas such as search engines, Chabot’s, sentiment analysis, and virtual assistants require text annotation tools to better train the machine learning models.

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How Text Annotation is helping Machine Learning?

As a form of data annotation, the text annotation tool helps in the machine learning process of assigning meaning to blocks of text, whether they are small phrases, bigger sentences, or full paragraphs.

Algorithms use big amounts of annotated data to train different AI models, which is a part of a bigger data labeling workflow. During the process of annotation, a metadata tag is used to mark the characteristics of a dataset. With the help of text annotation, that data includes important tags that highlight criteria such as phrases, keywords, or sentences.

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Many companies that provide machine learning text annotations help you successfully run your Artificial Intelligence and Machine Learning projects.

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Named Entity Tagger

Named Entity Tagging (NET) is used to assign labels to phrases or words within a text such as “actor or “city. They are used in chatbots, screening processes for hiring and recruiting people, medical records, etc.

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How to Use Text Annotations for Machine Learning?

Text annotation is the machine learning process to give meaning to blocks of text. Be it short phrases or long sentences, AI models do the work with the help of additional information via definitions, meaning, and its main intent.

Many companies offer powerful text annotation tools that ensure superior annotations. Be it sentiment annotation, semantic annotation, or named entity recognition, many companies that provide machine learning text annotations help you successfully run your Artificial Intelligence and Machine Learning projects.

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UBIAI text annotation tool perform named entity recognition (NER), relation extraction, and document classification all in the same interface, data in the correct format without extra coding.